theyogiwhocodes / DS_ML_AI_CS_Resources

DS_ML_AI_CS_Resources List

List of Books, People, Blogs, Tools, Movies related to Data Science, Machine Learning, Artificial Intelligence, Computer Science and Life.

Updated repository will be maintained on the Github repository -

• https://github.com/creativecoderr/DS_ML_AI_CS_Resources/blob/master/README.md

1. Skin in the Game: The Underlying Matrix of Daily Life - Nassim Nicholas Taleb
2. Future Babble: Why Pundits Are Hedgehogs and Foxes Know Best - Daniel Gardner
3. The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations - James Surowiecki
   • When an opinion of large number of independent thinkers in a group is taken, then the resultant outcome of the group matches that of the expert.
   • Due to Information Asymmetry - There is difference of opinion between the buyer and seller.
4. Nate Silver - The Signal and the Noise
   • Similar field of study - Sabermatics - Course in coursera - Sports Analytics
   • Used bayesian statistics to predict the US elections results.
   • Blog - FiveThirtyEight | Nate Silver’s FiveThirtyEight uses statistical analysis — hard numbers — to tell compelling stories about politics, sports, science, economics and culture. - http://fivethirtyeight.com/
5. How would you move mount Fuji - William Poundstone
   • https://ndtpm.files.wordpress.com/2012/01/how-would-you-move-mount-fuji.pdf
   • For preparing for interviews of consultancies etc.
6. Fortune's Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street - William Poundstone
7. Gaming the Vote: Why Elections Aren't Fair (and What We Can Do About It) - William Poundstone
8. Priceless: The Myth of Fair Value (and How to Take Advantage of It) - William Poundstone
9. Click - Bill Tancer
10. The Black Box Society - Frank Pasquale
    • Right to be forgotten.
    • Web Lining.
11. PrivacyGrade.org - CMU privacy check app.
12. WebLining
13. The Circle - Dave Eggers
14. Competing on Analytics: The New Science of Winning - Jeanne G. Harris and Thomas H. Davenport
15. Khyati Madan on Movie Analytics - Now in Red Chillies entertainment.
16. Claude Shanon - Theroy of Information & Concept of Entropy in Descision trees.
17. The Selfish Gene - Richard Dawkins
18. God Delusion - Richard Dawkins
19. Anand V. Bodapati - For Markov chains.
20. Game Theory Concept
    • https://en.wikipedia.org/wiki/Game_theory
21. Outliers: The Story of Success - Malcom Gladwell
22. The Tipping Point - Malcome Gladwell
23. Rock Breaks Scissors: A Practical Guide to Outguessing and Outwitting Almost Everybody - William Poundstone
24. lemongrad.com - Blog
25. Circos - Software for gene-data visualization
26. Why you should define your fears instead of your goals | Tim Ferriss
    • https://www.youtube.com/watch?v=5J6jAC6XxAI
27. The new age of corporate monopolies - EU Commissioner Ted Talk
    • https://www.ted.com/talks/margrethe_vestager_the_new_age_of_corporate_monopolies
28. Neo4j / GraphViz - graph / network analysis tools.
29. Achieving Success Through Social Capital- Wayne E. Baker
    • For successful long term benefit
30. The Art of Strategy: A Game Theorist's Guide to Success in Business and Life - Avinash K. Dixit (Author), Barry J. Nalebuff
31. Game Theory at Work: How to Use Game Theory to Outthink and Outmaneuvar Your Competition - James D. Miller
32. Gattaca(1997) - Genetic Profiling
33. RPA - Robotic Process Automation
34. IOT - Internet Of Things
35. IFTTT- If This Then That
36. Labnol - https://www.labnol.org/ - Blog
37. Mail merge - https://en.wikipedia.org/wiki/Mail_merge
38. A curated list of awesome Machine Learning frameworks, libraries and software on Github -
    • https://github.com/josephmisiti/awesome-machine-learning
    • https://github.com/ChristosChristofidis/awesome-deep-learning
39. Open Source Data Science and Machine Learning and CS Degree -
    • http://datasciencemasters.org/
    • http://nixonite.github.io/open-source-machine-learning-degree/
    • https://github.com/mvillaloboz/open-source-cs-degree
40. Steven Pinker - Congitive Neuroscience
    • How the Mind Works
    • The Language Instinct
    • Better Angels of Our Nature: How Violence Has Declined
41. Thinking, Fast and Slow - Daniel Kahneman
42. XMind - Mind Mapping Software
43. Remaking my voice - Roger Ebert - Ted Talk on Speech Synthesis
    • https://www.ted.com/talks/roger_ebert_remaking_my_voice
44. Loughran-McDonald Sentiment Word Lists
45. Recursive Deep Models for Semantic Compisitionality Over a Sentiment Treebank - Paper on NLP
46. Foundations of Statistical Natural Language Processing - Christopher Manning
    • http://ics.upjs.sk/~pero/web/documents/pillar/Manning_Schuetze_StatisticalNLP.pdf
47. SentiWordNet - s a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity.
    • http://sentiwordnet.isti.cnr.it/
48. Vocabulary Knowledge: Human ratings and automated measures (Studies in Bilingualism) - Scott Jarvis and Michael Daller
49. Beuatiful Soup - For web scraping via python
50. Selenium - Web automation and web scraping - Javascript
51. http://sci-hub.bz/ - Get research paper for free.
52. Hemant Kakkar - Work on IPL
53. Watch Ted videos on Haptic feedback technology
54. Artificial Intelligence A modern approach(Russel and Norvig)
55. The AI 100 - CB Insights - https://www.cbinsights.com/research-ai-100
    • Blog - https://www.cbinsights.com/research/
56. Pattern Recognition and Machine Learning - Christopher Bishop
    • http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf
57. Principal Component Analysis - Multidisciplinary Applications
    • https://www.intechopen.com/books/principal-component-analysis-multidisciplinary-applications
58. Machine Learning: The Art and Science of Algorithms that Make Sense of Data - Peter Flach
59. Machine Learning in Python: Essential Techniques for Predictive Analysis - Michael Bowles
60. Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurélien Géron
61. Data Mining: Concepts and Techniques, 3rd ed. - Jiawei Han, Micheline Kamber and Jian Pei
    • http://hanj.cs.illinois.edu/bk3/
    • http://myweb.sabanciuniv.edu/rdehkharghani/files/2016/02/The-Morgan-Kaufmann-Series-in-Data-Management-Systems-Jiawei-Han-Micheline-Kamber-Jian-Pei-Data-Mining.-Concepts-and-Techniques-3rd-Edition-Morgan-Kaufmann-2011.pdf
62. Python Machine Learning Book codes - https://github.com/rasbt/python-machine-learning-book
63. DS Books -

• Phython for Data Analysis
• DS from Scratch

64. Machine Learning Course - Coursera - Andrew Ng
65. Guide to being a Data Scientist - AnalyticsVidhya - https://www.analyticsvidhya.com/blog/2019/01/learning-path-data-scientist-machine-learning-2019/