Home
Search results “Data mining textbooks are us”
The Library as Dataset: Text Mining at Million-Book Scale
 
37:56
What do you do with a library? The large-scale digital collections scanned by Google and the Internet Archive have opened new ways to interact with books. The scale of digitization, however, also presents a challenge. We must find methods that are powerful enough to model the complexity of culture, but simple enough to scale to millions of books. In this talk I'll discuss one method, statistical topic modeling. I'll begin with an overview of the method. I will then demonstrate how to use such a model to measure changes over time and distinctions between sub-corpora. Finally, I will describe hypothesis tests that help us to distinguish consistent patterns from random variations. David Mimno is a postdoctoral researcher in the Computer Science department at Princeton University. He received his PhD from the University of Massachusetts, Amherst. Before graduate school, he served as Head Programmer at the Perseus Project, a digital library for cultural heritage materials, at Tufts University. He is supported by a CRA Computing Innovation fellowship.
Views: 2331 YaleUniversity
Kenneth Cukier: Big data is better data
 
15:56
Self-driving cars were just the start. What's the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what's next for machine learning — and human knowledge. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 307375 TED
Data Mining: How You're Revealing More Than You Think
 
11:13
Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 139488 SciShow
OLC talks about Educational Data Mining with Ryan Baker
 
22:01
Ryan will join this hangout and talk about the power of data mining and analytics.  This is a preview of Ryan's Plenary talk at the upcoming OLC Blended Learning Conference:  http://olc.onlinelearningconsortium.org/conference/2015/blended/educational-data-mining-potentials-moocs-and-blended-learning-higher-educati Learn more about Ryan: Ryan Baker is Associate Professor of Cognitive Studies at Teachers College, Columbia University. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University. Dr. Baker is currently serving as the founding president of the International Educational Data Mining Society, and as associate editor of the Journal of Educational Data Mining. He has taught the largest MOOC thus far on educational data mining, with over 50,000 students enrolled, and has written an online textbook based on the course, Big Data and Education. Dr. Baker also served as the first technical director of the Pittsburgh Science of Learning Center DataShop, the largest public repository for data on the interaction between learners and educational software. His research combines educational data mining and quantitative field observation methods to better understand how students respond to educational software, and how these responses impact their learning and long-term outcomes. He studies these issues within intelligent tutors, simulations, multi-user virtual environments, and educational games. Register and join us in Denver, CO http://olc.onlinelearningconsortium.org/conference/2015/blended/registration
Views: 729 Sandra Coswatte
How To Write A Book Chapter: 0 Part #2 - Data Mining - Ethos
 
27:43
▶️ Truth Teeshirt Designs: https://truthentrepreneur.com/ About This Video: Part 1 - Text - https://steemit.com/writing/@primemover/how-to-write-a-book-start-to-finish-chapter-0-who-what-where-when-why Jordan Peterson's self authoring suite: https://www.selfauthoring.com/ ▶️ 1. Donate: https://www.patreon.com/user?u=12849906 ▶️ 2. Truth Teeshirts https://truthentrepreneur.com/ ▶️ 3. On YouTube: Subscribe, Click Notification Bell ▶️ 4. Subscribe to The Podcast: https://soundcloud.com/spiritual_hustle ▶️ 5. Follow Us on Alternative Platforms 🔴 Bitchute: https://www.bitchute.com/channel/primemover/ 🔴 Minds: https://www.minds.com/TruthEntrepreneur 🔴 Steemit: https://d.tube/#!/c/primemover 🔴 Gab: https://gab.ai/Justinccs 🔴 Twitter: https://twitter.com/realjustinccs 🔴 Facebook: I'm not a Grandma 🔴 Instagram: I'm not an [insert group here]
Views: 2 Justin ccs
Becoming a Data Scientist with a non-computer programming
 
55:45
Richard Boire's experience in data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics complemented with career experience at leading-edge organizations such as Reader’s Digest and American Express. Through his work at Boire Filler Group and more recently Environics Analytics, Richard has become a recognized authority on predictive analytics and data science within Canada due to his extensive applied experience in virtually all business sectors. His work has yielded numerous international speaking opportunities as well as publications and white papers including a most recent book on data mining(“Data Mining for Managers: How to use data(Big and Small) to Solve Business Problems”-published by Palgrave Macmillan in 2014).
Views: 38 Data Steps
John Nichols: Data Mining American Voters
 
04:03
Whistleblower Edward Snowden revealed the extent of the information that the NSA collects on average Americans, but, according to John Nichols, politicians and political campaigns have been date mining the electorate for years. In his new book, Dollarocracy: How the Money and Media Election Complex is Destroying America, he and Robert W. McChesney analyze how date mining is used not only to manipulate voters but also to maximize fundraising and attract donors. Read more at http://thenat.in/18Dua2J
Views: 1754 The Nation
Basic Data Visualisation Techniques
 
09:29
Learn basic data visualization techniques in this tutorials. For Training & Study packs on Analytics/Data Science/Big Data, Contact us at [email protected] Find all free videos & study packs available with us here: http://analyticsuniversityblog.blogspot.in/ SUBSCRIBE TO THIS CHANNEL for free tutorials on Analytics/Data Science/Big Data/SAS/R/Hadoop
Views: 11136 Analytics University
Data & Analytics In Football ft. James Tippett | Science of Football
 
08:20
James Tippett is the author of 'The Football Code' – "Football's answer to Moneyball". James tells us about his experiences compiling the book, and the ways in which the sport has been moulded by the advent of analytics and data. -------------------- ► SUBSCRIBE TO Football Whispers TV - https://www.youtube.com/c/FootballWhispers?sub_confirmation=1 ► FOLLOW US - https://twitter.com/FB_WHISPERS ► LIKE US - https://facebook.com/FootballWhispers Football Whispers TV have the beautiful game covered beautifully - from Team Whispers, as we focus on each of the game’s elite, to Science of Football, as we delve into the game’s latest tactical and analytical innovations, to Behind the Lines, as we profile the sport’s biggest characters - we’ve got an angle on everything. Follow us on Twitter- https://twitter.com/FB_WHISPERS Like us on Facebook - https://www.facebook.com/FootballWhispers/ www.FootballWhispers.com
Views: 1525 Football Whispers
Classification of Data Mining Problems v1
 
09:18
I will explain 9 common data mining problem types. The information in this presentation is mostly based on the great book called "Data Science for Business" written by Provost and Fawcett. http://datascience.mertnuhoglu.com Please give positive or negative feedback on the presentation. Does it help? What do you suggest to make it better?
Views: 8017 Mert Nuhoglu
Topic Detection with Text Mining
 
50:16
Meet the authors of the e-book “From Words To Wisdom”, right here in this webinar on Tuesday May 15, 2018 at 6pm CEST. Displaying words on a scatter plot and analyzing how they relate is just one of the many analytics tasks you can cover with text processing and text mining in KNIME Analytics Platform. We’ve prepared a small taste of what text mining can do for you. Step by step, we’ll build a workflow for topic detection, including text reading, text cleaning, stemming, and visualization, till topic detection. We’ll also cover other useful things you can do with text mining in KNIME. For example, did you know that you can access PDF files or even EPUB Kindle files? Or remove stop words from a dictionary list? That you can stem words in a variety of languages? Or build a word cloud of your preferred politician’s talk? Did you know that you can use Latent Dirichlet Allocation for automatic topic detection? Join us to find out more! Material for this webinar has been extracted from the e-book “From Words to Wisdom” by Vincenzo Tursi and Rosaria Silipo: https://www.knime.com/knimepress/from-words-to-wisdom At the end of the webinar, the authors will be available for a Q&A session. Please submit your questions in advance to: [email protected] This webinar only requires basic knowledge of KNIME Analytics Platform which you can get in chapter one of the KNIME E-Learning Course: https://www.knime.com/knime-introductory-course
Views: 2468 KNIMETV
Introduction to data mining and architecture  in hindi
 
09:51
Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 178523 Last moment tuitions
Interview with a Data Scientist
 
02:54
This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 285722 Udacity
Bitcoin Mining Explained
 
10:24
We are miners from 2013 looking to create community and help train and learn together as blockchain tech changes so quickly. Leave your thoughts in the comments, call in, ask us anything. Thank you for your time it means a lot to us. This is where you get that rig hosted and mine coins all day long! https://www.digie.io All the great Merchandise 10% off! http://allthingsdecentral.com?aff=650 ✨Bitcoin coins!✨ http://amzn.to/2u1VkRQ 💰To get Bitcoin start here!💰 https://www.coinbase.com/join/5822284a3239de006a91b885 📈Support the Channel with Crypto:📈 BTC- 1FUyrbMx3STdpkhJKpjNwLkn8kYBQFJQPA ETH- 0xe02135195519D35D16615bBE2fA2Aa40ce0baECE LTC- LUkeeDhPmmS9S2mMJCwNzt2xoYwgy3En9R 🦊Fellow Friend Channels🦊 Ben teaches you step by step what to do! https://www.youtube.com/channel/UChzLnWVsl3puKQwc5PoO6Zg All about your rig build https://www.youtube.com/user/BitsBeTrippin Crypto info news https://www.youtube.com/channel/UCHnmFRbEPiN0rX_0WaEfZsA Interviews https://www.youtube.com/channel/UClMX3Ln3JLo6CzGvA-JAE9A Trey’s Life https://www.youtube.com/channel/UCVH62tKvfMJS14Fc-6E1DPA/featured?view_as=public 📡Social Sites📡 Facebook Group- http://Facebook.com/groups/DigitalGoldGroup Twitch- https://www.twitch.tv/digitalgold_ Mixer- https://mixer.com/DigitalGold_llc Twitter- https://twitter.com/DigitalGold_LLC Website: https://www.digie.io Email us: [email protected] 📝Rules for the chat📝 Zero tolerance for foul language this is a family friendly place. Do not spam Stop posting addresses Respect fellow humans Use @digitalgold to get your question answered -~-~~-~~~-~~-~- Please watch: "Life of a Miner, From Altcoins to Bitcoins over 4 years " https://www.youtube.com/watch?v=heiPMY9gOWg -~-~~-~~~-~~-~-
Views: 491502 Digital Gold
Statistical Aspects of Data Mining (Stats 202) Day 1
 
50:50
Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 214111 GoogleTechTalks
Twitter Sentiment Analysis - Learn Python for Data Science #2
 
06:53
In this video we'll be building our own Twitter Sentiment Analyzer in just 14 lines of Python. It will be able to search twitter for a list of tweets about any topic we want, then analyze each tweet to see how positive or negative it's emotion is. The coding challenge for this video is here: https://github.com/llSourcell/twitter_sentiment_challenge Naresh's winning code from last episode: https://github.com/Naresh1318/GenderClassifier/blob/master/Run_Code.py Victor's Runner up code from last episode: https://github.com/Victor-Mazzei/ml-gender-python/blob/master/gender.py I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ More on TextBlob: https://textblob.readthedocs.io/en/dev/ Great info on Sentiment Analysis: https://www.quora.com/How-does-sentiment-analysis-work Great sentiment analysis api: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis Read over these course notes if you wanna become an NLP god: http://cs224d.stanford.edu/syllabus.html Best book to become a Python god: https://learnpythonthehardway.org/ Please share this video, like, comment and subscribe! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Two Minute Papers Link: https://www.youtube.com/playlist?list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 240245 Siraj Raval
Introduction to Data Mining: Data Exploration & Visualization
 
03:19
In our last section in data mining fundamentals, we introduce you to data exploration and visualization and what they are to data mining. -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3600+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8MwZ0 See what our past attendees are saying here: https://hubs.ly/H0f8M9m0 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 5355 Data Science Dojo
Data Preprocessing Steps for Machine Learning & Data analytics
 
03:50
#Pandas #DataPreProcessing #MachineLearning #DataAnalytics #DataScience Data Preprocessing is an important factor in deciding the accuracy of your Machine Learning model. In this tutorial, we learn why Feature Selection , Feature Extraction, Dimentionality Reduction are important. We also learn about the famous methods which can be used for the purpose. Data Preprocessing is a very important step in Data Analytics which is ignored by many. To make your models accurate you have to ensure proper preprocessing as the Machine Learning model is highly dependent on data. For all Ipython notebooks, used in this series : https://github.com/shreyans29/thesemicolon Facebook : https://www.facebook.com/thesemicolon.code Support us on Patreon : https://www.patreon.com/thesemicolon Python for Data Analysis book : http://amzn.to/2oDief8 Pattern Recognition and Machine Learning : http://amzn.to/2p6mD6R
Views: 10583 The SemiColon
Fiance Visa Denial due to Social Media Data Mining
 
08:43
http://www.visacoach.com/visa-denial-social-media-data-mining.html USCIS recently hired contractors to research social media to provide additional data for the extreme vetting of Fiance, Spouse and other visa applicants. Expect one’s social media “skeletons” to lead to denial. To Schedule your Free Consultation with Fred Wahl, the Visa Coach visit http://www.visacoach.com/talk.html or Call - 1-800-806-3210 ext 702 or 1-213-341-0808 ext 702 Bonus eBook “5 Things you Must Know before Applying for your Visa” get it at http://www.visacoach.com/five.html Fiancee or Spouse visa, Which one is right for you? http://imm.guru/k1vscr1 What makes VisaCoach Special? Ans: Personally Crafted Front Loaded Presentations. Front Loaded Fiance Visa Petition http://imm.guru/front Front Loaded Spouse Visa Petition http://imm.guru/frontcr1 K1 Fiancee Visa http://imm.guru/k1 K1 Fiance Visa Timeline http://imm.guru/k1time CR1 Spousal Visa http://imm.guru/cr1 CR1 Spouse Visa Timeline http://imm.guru/cr108 Green Card /Adjustment of Status http://imm.guru/gc USCIS recently announced new contracts given to companies to search through social media to collect data on Fiance and other visa applicants. Collection starts October 18. If you have any "suspect" exposure, you have only a few more days to take it down. One of VisaCoach's clients has already experienced denial due to his Facebook presence. This couple's case was as near perfect as we have seen. They were young and in love. They had known each other for a few years and had met more than once. They were evenly matched by age, values and religion. Their "front loaded" petition was awesome and included many solid evidences of their bona fides. The American sponsor even accompanied his fiancé to the interview to demonstrate his sincerity and support for the petition. After a brief interview where the sponsor was not allowed to join in nor asked any questions before, during or after, the consular officer, denied the case. The couple was devastated and confused. What could have gone wrong? A consular officer who exhibits professionalism will state the reasons for denial in writing. And provide this to the rejected applicant immediately, often at the close of the interview itself. You may not agree with the decision, but at least know what it was and then have a starting point for renewed efforts. The officer refused to provide any verbal or written explanation. All the couple had was the fiancee's memory of the interview. I asked her to write a transcript of what happened, to recall exactly what was said and even what the body language was, so that we could study this in an attempt to reconstruct what MIGHT have been in the consular officer’s mind. What seemed odd and out of context, was the consular officer made some comments about "conservative values" and what is a "woman's role in society and in the home". Those comments seemed rather strange at the time and the foreign born fiancé had no idea where those comments came from. Eventually it dawned on us. The American sponsor is active on FaceBook. He is outspoken and his views are somewhat "anti feminist". He had posted on his social media pages, and entered into many online debates, his ideas on conservative values, and HIS ideas about a women's role in the home and society. He is not a bad guy. Not a bad husband. He was just expressing his free speech. He just had some strong views that are not popular, that are not considered "politically correct". The consular officer did her own internet search, found his activity and "Was NOT amused", and denied, putting this loving couple's life's on hold. Was it fair or reasonable that they were denied?. No, I don't think so. Happy end to the story. We took down his Facebook account, reapplied, and six months later they had their visa and began their married life together in Alaska. One random consular officer searching on Facebook ended in a denial. What will happen when ALL Fiance and Spouse applications are accompanied by a detailed dossier of one's online statements, comments jokes, embarrassments, positive and negative feedback from friends or trolls? Expect disaster. Expect many more denials, simply due to exercising a US Citizen's right to free speech. In Conclusion: "Freedom of Speech", doesn't mean freedom to get your visa. The prudent path is prior to applying for a Fiance or Spouse visa to make sure there are no skeletons in your online closet. Clean or temporarily remove, or make private, potentially controversial aspects of your online and public presence before proceeding with your visa application.
Views: 11664 Visa Coach
Why Twitter is blocking the government from using a data-mining tool (CNET Update)
 
02:24
Watch more CNET Upate: http://bit.ly/1M6Q5xn The social network is banning US spy agencies from accessing an analytics service used by news agencies. Meanwhile, Facebook wins a trademark battle in China. Sorry, you won't be able to taste "Face Book" the drink. Subscribe to CNET: http://bit.ly/17qqqCs Watch more CNET videos: http://www.cnet.com/video Follow CNET on Twitter: http://twitter.com/CNET Follow CNET on Facebook: http://www.facebook.com/cnet
Views: 10545 CNET
Asteroid Mining Will Revolutionize Our Future Economy
 
07:04
Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/PBSDSDonate Don’t miss our next video! SUBSCRIBE! ►► http://bit.ly/iotbs_sub Read “Soonish” by Kelly and Zach Weinersmith! https://smbc-comics.com/soonish/ ↓↓↓ More info and sources below ↓↓↓ Try 23andMe at: http://www.23andme.com/okay Asteroid mining sounds like something out of a bad space movie, but harvesting materials from space rocks might be our ticket to building space colonies or living on Mars. Most of Earth’s precious and rare metals are locked too far in the crust for us to get at them, and launching them to space is too expensive for us to supply large colonies off Earth or explore far off worlds. How do we get our hands on the planetary resources inside asteroids? Let’s find out! Special thanks to Kelly and Zach Weinersmith for working with us on this video. Check out their new book “Soonish” for a hilarious and science-filled look at future technologies: https://smbc-comics.com/soonish/ SOURCES/EXTRAS: Badescu, Viorel, ed. Asteroids: Prospective energy and material resources. Springer Science & Business Media, 2013. Crawford, Ian A. "Asteroids in the service of humanity." arXiv preprint arXiv:1306.2678 (2013). Kleine, Thorsten. "Geoscience: Earth's patchy late veneer." Nature 477.7363 (2011): 168-169. ----------- FOLLOW US: Merch: https://store.dftba.com/collections/its-okay-to-be-smart Facebook: http://www.facebook.com/itsokaytobesmart Twitter: @okaytobesmart @DrJoeHanson Tumblr: http://www.itsokaytobesmart.com Instagram: @DrJoeHanson Snapchat: YoDrJoe ----------- It’s Okay To Be Smart is hosted by Joe Hanson, Ph.D. Director: Joe Nicolosi Writer: Dr. Shaena Montanari Editor/animator: Andrew Orsak Producer: Stephanie Noone and Amanda Fox Produced by PBS Digital Studios Music via APM Stock images from Shutterstock http://www.shutterstock.com -----------
Views: 260896 It's Okay To Be Smart
HARD DRIVE Mining? This is getting ridiculous...
 
11:43
Hard drive mining... could this be the solution to the GPU crisis?... For your unrestricted 30 days free trial, go to https://www.freshbooks.com/techtips and enter in “Linus Tech Tips” in the how you heard about us section. Get iFixit's Pro Tech Toolkit now for only $59.95 USD at https://www.ifixit.com/linus Buy HDDs on Amazon: http://geni.us/iJD6t Discuss on the forum: https://linustechtips.com/main/topic/910184-hard-drive-mining-this-is-getting-ridiculous/ Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/75969-linus-tech-tips-affiliates-referral-programs-and-sponsors Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/LinusTechTips/ Linus Tech Tips posters at http://crowdmade.com/linustechtips Our production gear: http://geni.us/cvOS Get LTX 2018 tickets at https://www.ltxexpo.com/ Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxmFU3lWY iTunes Download Link: https://itunes.apple.com/us/album/supernova/id936805712 Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnirvana Sound effects provided by http://www.freesfx.co.uk/s
Views: 2409591 Linus Tech Tips
Data Structures and Algorithms Complete Tutorial Computer Education for All
 
06:49:24
Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation of stack Queue Data Structures Operations on Queues Linked list based implementation of queues Application of Trees Binary Trees Types of Binary Trees Implementation of Binary Trees Binary Tree Traversal Preorder Post order In order Binary Search Tree Introduction to Sorting Analysis of Sorting Algorithms Bubble Sort Selection Sort Insertion Sort Shell Sort Heap Sort Merge Sort Quick Sort Applications of Graphs Matrix representation of Graphs Implementations of Graphs Breadth First Search Topological Sorting Subscribe for More https://www.youtube.com/channel/UCiV37YIYars6msmIQXopIeQ Find us on Facebook: https://web.facebook.com/Computer-Education-for-All-1484033978567298 Java Programming Complete Tutorial for Beginners to Advance | Complete Java Training for all https://youtu.be/gg2PG3TwLx4
Big Data, Small World: Kirk Borne at TEDxGeorgeMasonU
 
22:05
Talk given at TEDxGeorgeMasonU, April 6th 2013. Read full bios and event information at www.TEDxGeorgeMasonU.com Dr. Kirk Borne is a Multidisciplinary Data Scientist and an Astrophysicist. He is Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences (SPACS). He received his B.S. degree in physics from LSU and his Ph.D. in astronomy from Caltech. After 20 years working in NASA, he changed course and became a data scientist in the then new field of 'Data Mining'. His TEDx talk covers some of the basic ideas behind data mining, and how it influences us every day. If you are a Twitter user, you can follow him there as he actively tweets about Big Data, Data Science, and Astronomy under the handle @KirkDBorne. TEDxGeorgeMasonU Curator: Joe Renaud (@JoePRenaud). Filming: GMU TV and Adam Scott. Production Manager: Jessica Teaford (@jessicateaford). TEDxGeorgeMasonU Team: Andrew Hawkins, Kathleen Wills, AZ Zeller, Brittny Steward, and Myurajan Rubaharan. Major Sponsors: GMU Office of Student Scholarship, and GMU Office of the Provost. About TEDx: In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 121290 TEDx Talks
Introduction to Datawarehouse in hindi | Data warehouse and data mining Lectures
 
10:36
#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 248382 Last moment tuitions
What does a data analyst actually do?
 
03:09
Dave Elkington, CEO of InsideSales.com, explains the role of a data analyst, and why cleaning up data sets takes up the vast majority of their time. Algorithms and computer science play a minor role. For more, see https://www.siliconrepublic.com Follow us on Twitter: https://twitter.com/siliconrepublic Like us on Facebook: https://www.facebook.com/siliconrepublic
Views: 113287 Silicon Republic
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
 
01:18:29
Virginia Eubanks joins us for a rousing conversation about her timely and provocative book, Automating Inequality. In Automating Inequality, Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. "This book is downright scary,” says Naomi Klein, “but with its striking research and moving, indelible portraits of life in the ‘digital poorhouse,’ you will emerge smarter and more empowered to demand justice.” More info on this event here: https://cyber.harvard.edu/events/2018-10-23/automating-inequality
Dominik Slezak  |  Poland | Big Data Analysis and Data Mining  2015 | Conference Series LLC
 
01:16:08
2nd International Conference on Big Data Analysis and Data Mining November 30-December 01, 2015 San Antonio, USA Scientific Talk On: Knowledge Pit Platform for Modern Data Mining Competitions Click here for Abstract and Biography: http://datamining.conferenceseries.com/speaker/2015/dominik-slezak-university-of-warsaw-poland Conferenceseries LLC : http://www.conferenceseries.com Omics International : http://www.omicsonline.org/
Introduction - Learn Python for Data Science #1
 
06:55
Welcome to the 1st Episode of Learn Python for Data Science! This series will teach you Python and Data Science at the same time! In this video we install Python and our text editor (Sublime Text), then build a gender classifier using the sci-kit learn library in just about 10 lines of code. Please subscribe & share this video if you liked it! The code for this video is here: https://github.com/llSourcell/gender_classification_challenge I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Download Python here: https://www.python.org/downloads/ Download Sublime Text here: https://www.sublimetext.com/3 Some Great simple sci-kit learn examples here: https://github.com/chribsen/simple-machine-learning-examples and the official scikit website: http://scikit-learn.org/ Highly recommend this online book as supplementary reading material: https://learnpythonthehardway.org/book/ Wondering when to use which model? This chart helps, but keep in mind deep neural nets outperform pretty much any model given enough data and computing power. so use these when you don't have access to loads of data and compute: http://scikit-learn.org/stable/tutorial/machine_learning_map/ Thank you guys for watching! Subscribe, like, and comment! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 440534 Siraj Raval
CrossRef Metadata and Text and Data Mining
 
18:14
CrossRef European Workshop in Vilnius 11 June 2015, the Lithuanian Academy of Sciences, Lithuania The workshop will consider good practice publishing for journals and books, how CrossRef services can improve digital journal and book quality, and ways to promote ethical publishing. It will also demonstrate how CrossRef services can enable digital journals and books to meet international publishing standards. The workshop has been developed from the highly successful annual meetings held in the US and UK and is being held in Vilnius to allow those unable to travel to the UK or US to participate. More information: http://serials.lt/crossref-european-workshop-in-vilnius/
Data Mining Creating a Revolution for Campaign Strategy
 
07:57
For more coverage: http://to.pbs.org/Qao5NO Increasingly, behavior psychology concepts like 'social pressure' can be used not only to get voters out to the polls but getting them to vote for a specific candidate. Hari Sreenivasan talks to journalist Sasha Issenberg about his latest book, "The Victory Lab: The Secret Science of Winning Campaigns.
Views: 2053 PBS NewsHour
Making data mean more through storytelling | Ben Wellington | TEDxBroadway
 
14:19
Ben Wellington uses data to tell stories. In fact, he draws on some key lessons from fields well outside computer science and data analysis to make his observations about New York City fascinating. Never has a fire hydrant been so interesting as in this talk. Ben Wellington is a computer scientist and data analyst whose blog, I Quant NY, uses New York City open data to tell stories about everything from parking ticket geography to finding the sweet spot in MetroCard pricing. His articles have gone viral and, in some cases, led to policy changes. Wellington teaches a course on NYC open data at the Pratt Institute and is a contributor to Forbes and other publications. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 149583 TEDx Talks
Advanced Data Mining projects with R : What Is Recommendation? | packtpub.com
 
07:36
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2n53Vi6]. Recommendation is a technique by which the algorithm detects what the user is buying. You would always like to be recommended things similar to your interest or things you have bought before. Recommendation engine helps in doing that. • Understand recommendation • Know its types and techniques For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 142 Packt Video
Is Mining on ASICs Worth It? - Mining Adventure Part 3
 
12:15
Thanks to Skillshare for sponsoring this video! Get your first 3 months of Skillshare for $0.99 at http://skl.sh/2n8FT4t. This offer is valid until Feb 15th! Mining was for a long time a GPU only game, but with ASIC miners seemingly everywhere these days, are they actually profitable? Buy ASICs (or maybe dont?): Amazon: http://geni.us/97mrAc Discuss on the forum: https://linustechtips.com/main/topic/891559-is-mining-on-asics-worth-it-mining-adventure-pt-3/ Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/75969-linus-tech-tips-affiliates-referral-programs-and-sponsors Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/LinusTechTips/ Linus Tech Tips posters at http://crowdmade.com/linustechtips Our production gear: http://geni.us/cvOS Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxmFU3lWY iTunes Download Link: https://itunes.apple.com/us/album/supernova/id936805712 Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnirvana Sound effects provided by http://www.freesfx.co.uk/sfx/
Views: 1388082 Linus Tech Tips
Outsource Data Mining Services - Online Data Entry Outsourcing
 
00:36
Mining out the required data with ease and professionalism is what we assure. Outsource data mining services requirements to us without any dilemma. For more info - https://www.onlinedataentryoutsourcing.com/web-researching/data-mining-services/
Big Data - The New Book from Viktor Mayer-Schönberger and Kenneth Cukier
 
03:01
"Big Data" introduces you to the recent bestselling book by Viktor Mayer-Schönberger and Kenneth Cukier. The book examines the way big data changes how we live, work and think. In the book we describe how we will use big data, and where big data's value lies. We also look at big data's dark sides, and how to ensure that they do not take control. The book is published in the US by Houghton Mifflin Harcourt, and in the UK by John Murray - details and much more information can be found at http://big-data-book.com
Applications of Predictive Analytics in Legal | Litigation Analytics, Data Mining & AI | Great Lakes
 
30:12
#PredictiveAnalytics | Learn the prediction of outcome or treatment of a case by legal courts of Appeals based on historical data using predictive analytics. Watch the video to understand analytics in legal using case study on real-life data set. How litigation analytics can flourish with the use of data mining and AI. Know more about our analytics Program: PGP- Business Analytics: https://goo.gl/V9RzVD PGP- Big Data Analytics: https://goo.gl/rRyjj4 Business Analytics Certification Program: https://goo.gl/7HPoUY #LegalTech #LegalAnalytics #GreatLearning #GreatLakes About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube
Views: 728 Great Learning
Data Mining Scientist Scrape 70,000 OkCupid Profiles and Release Personal Information Online
 
06:26
Source: http://www.engadget.com/2016/05/13/scientists-release-personal-data-for-70-000-okcupid-profiles/ The Slackers Method is here to give you insights, motivation, and perspective to empower you to achieve the success you want. Noticing lots of people have problems either meeting others or finding the right one out of the people they meet, The Slackers Method is here to provide food for thought in a humorous and insightful way. Sit back, listen, watch and enjoy. For News, Articles, Quizzes and More Visit The Website ************************** http://www.theslackersmethod.com Join Me On Social Media ************************** Twitter: https://twitter.com/TheSeptemberman Facebook: https://www.facebook.com/craigslist.guy Pinterest: http://pinterest.com/TheSeptemberman Tumblr: http://theslackersmethod.tumblr.com/ Share This Video! ************************** Subscribe To This Channel http://www.youtube.com/subscription_center?add_user=TheSlackersMethod Checkout My eBook! ************************** https://itunes.apple.com/us/book/the-slackers-method/id454773614?mt=11 https://play.google.com/store/apps/details?id=com.appmk.book.AOTLNADVWIOADKTVLT&feature=search_result#?t=W251bGwsMSwyLDEsImNvbS5hcHBtay5ib29rLkFPVExOQURWV0lPQURLVFZMVCJd
Distributed Learning of Rule Ensemble Models with H2O - Giovanni Seni, Amazon's A9
 
29:49
This presentation was recorded at #H2OWorld 2017 in Mountain View, CA. Enjoy the slides: https://www.slideshare.net/0xdata/distributed-learning-of-rule-ensemble-models-with-h2o. Learn more about H2O.ai: https://www.h2o.ai/. Follow @h2oai: https://twitter.com/h2oai. - - - Giovanni Seni currently leads a team of data scientists and data engineers at Amazon’s A9.com, working on computational advertising problems. As an active data mining practitioner in Silicon Valley, he has over 15 years R&D experience in statistical pattern recognition and data mining applications. He has been a member of the technical staff at large technology companies, and a contributor at smaller organizations. He holds five US patents and has published over twenty conference and journal articles. His book “Ensemble Methods in Data Mining – Improving accuracy through combining predictions” was published in February 2010 by Morgan & Claypool.
Views: 350 H2O.ai
Data Mining In Common Core - TheBlaze
 
07:00
Experts weigh in on the scary data mining happening in Common Core.
Views: 659 MercuryOneMemphis
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
 
01:20:32
In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lies dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. “This book is downright scary,” says Naomi Klein, “but with its striking research and moving, indelible portraits of life in the ‘digital poorhouse,’ you will emerge smarter and more empowered to demand justice.” Join us for a lively discussion of this timely book. Virginia Eubanks is an associate professor of political science at the University at Albany, SUNY. She is the author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor and Digital Dead End: Fighting for Social Justice in the Information Age and co-editor, with Alethia Jones, of Ain’t Gonna Let Nobody Turn Me Around: Forty Years of Movement Building with Barbara Smith. Her writing about technology and social justice has appeared in The American Prospect, The Nation, Harper’s, and Wired. For two decades, Eubanks has worked in community technology and economic justice movements. Today, she is a founding member of the Our Data Bodies Project and a fellow at New America. She lives in Troy, NY. Hosted by the Algorithmic Fairness & Opacity Working Group (AFOG). Co-sponsored by the UC Berkeley Center for Technology, Society & Policy (CTSP), the Berkeley Institute for Data Science (BIDS), and CITRIS
Final Year Projects 2015 | Automated web usage data mining and recommendation system
 
08:26
Including Packages ===================== * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 3148 Clickmyproject
Work From Home Data Entry For Amazon
 
06:16
Book your reading http://shanekastarotreadings.bigcartel.com About me: Growing up an empath, I found a way to incorporate this existence using Tarot. It has been an interesting and amazing journey. I enjoy the feeling of service and duty when providing readings for many people in the world who need clarity and insight to their situations. I am here to help you reach amazing solutions to what you think is your issue. Thank you for the support and cooperation. My Instagram: @shanekasintuitivetarotreadings My Twitter: @shanekastarot Work from home doing data entry for Amazon's extended website Mturk.com. instagram: junemoongoddesss work from home jobs, work from home lyrics, work from home part time, work from home jobs in va, work from home song, work from home companies, work from home data entry, work from home jobs in md, work from home jobs in dc, work from home customer service, work from home, work from home amazon, work from home apple, work from home accounting jobs, work from home arlington va, work from home airline jobs,
Data Analytics Using R – Seema Acharya
 
01:00:20
Recording of our Exclusive Audio Webinar - Data Analytics Using R The webinar covered following topics: - Features of R language - Brief about the various data mining algorithms - Implement a data mining algorithm (Market Basket Analysis / classification / K means clustering using R along with explanation) Link to the Data Analytics Using R Book: https://bit.ly/2Lv2vpH About the Speaker - Seema Acharya: Seema Acharya is a Senior Lead Principal with the Education, Training and Assessment department of Infosys Limited. She is a technology evangelist, a learning strategist, and an author with over 15 years of information technology industry experience in learning/ education services. She has designed and delivered several largescale competency development programs across the globe involving organizational competency need analysis, conceptualization, design, development and deployment of competency development programs. An educator by choice and vocation, her areas of interest and expertise are centered on Business Intelligence and Big Data, and Analytics Technologies such as Data Warehousing, Data Mining, Data Analytics, Text Mining and Data Visualization. She has authored some other books as well on the subject and has co-authored a paper on Collaborative Engineering Competency Development for ASEE (American Society for Engineering Education). She holds the patent on Method and system for automatically generating questions for a programming language. She is passionate about exploring new paradigms of learning and dabbles into creating e-learning content to facilitate learning anytime and anywhere.
Application of data mining: Diabetes health care in young | Final Year Projects 2016 - 2017
 
11:09
Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://myprojectbazaar.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 123 myproject bazaar
Michelle Malkin Book "Who Built That: Awe-Inspiring Stories of American Tinkerpreneurs"
 
15:32
Glenn Beck talked to Michelle Malkin about her new book "Who Built That: Awe-Inspiring Stories of American Tinkerpreneurs" for more go to http://www.bit.ly/WhoBuiltThatBook and http://www.GlennBecksBookList.com Firebrand conservative columnist, commentator, Internet entrepreneur, and #1 New York Times bestselling author Michelle Malkin tells the fascinating, little-known stories of the inventors who have contributed to American exceptionalism and technological progress. In July 2012, President Obama infamously proclaimed: “If you’ve got a business—you didn’t build that. Somebody else made that happen.” Malkin wholeheartedly disagrees. Who Built That is a rousing tribute to the hidden American capitalists who pioneered everyday inventions. They’re the little big things we take for granted: bottle caps and glassware, tissue paper, flashlights, railroad signals, bridge cables, revolutionary plastics, and more. Malkin takes readers on an eclectic journey of American capitalism, from the colonial period to the Industrial Age to the present, spotlighting awe-inspiring and little-known “tinkerpreneurs” who achieved their dreams of doing well by doing good. You’ll learn how famous patent holders Abraham Lincoln and Mark Twain championed the nation’s unique system of intellectual property rights; how glass manufacturing mavericks Edward Libbey and Mike Owens defied naysayers to revolutionize food, beverage, and pharmaceutical packaging; how penniless Croatian immigrant Anthony Maglica started his $400 million Maglite flashlight business in a rented garage; and many more riveting stories that explain our country’s fertile climate for scientific advancement and entrepreneurship. To understand who we are as people, we need to first understand what motivates America’s ordinary and extraordinary makers and risk-takers. Driven by her own experience as a second-generation beneficiary of the American Dream, Malkin skillfully and passionately rebuts collectivist orthodoxy to celebrate the engineers, mechanics, designers, artisans, and relentless tinkerers of all backgrounds who embody our nation’s spirit of self-made entrepreneurialism.
Views: 1807 GlennBeckBookList
KDD ( knowledge data discovery )  in data mining in hindi
 
08:50
Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://goo.gl/to1yMH or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 if you have any query email us at [email protected] or [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 62918 Last moment tuitions

internet dating burnout
junior dating 7th grader
soirée speed dating 76
winchester 67 dating
bp carbon dating