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- GitHub - sdmg15/Best-websites-a-programmer-should-visit: Some useful websites for programmers. https://github.com/sdmg15/Best-websites-a-programmer-should-visit 331 comments
- Bayes' rule in Haskell, or why drug tests don't work | Random Hacks http://www.randomhacks.net/articles/2007/02/22/bayes-rule-and-drug-tests 83 comments
- Text classification by data compression • Max Halford https://maxhalford.github.io/blog/text-classification-by-compression/ 41 comments
- GitHub - rodricios/autocomplete: Autocomplete - an adult and kid friendly exercise in creating a predictive program https://github.com/rodricios/autocomplete 41 comments
- GitHub - nushackers/notes-to-cs-freshmen-from-the-future: Notes to (NUS) Computer Science Freshmen, From The Future (Original by @ejamesc) https://github.com/nushackers/notes-to-cs-freshmen-from-the-future 31 comments
- 100,000+ Sign Up For Stanford's Open Class on Artificial Intelligence. Classes With 1 Million+ Next? http://singularityhub.com/2011/08/18/100000-sign-up-for-stanfords-open-class-on-artificial-intelligence-classes-with-1-million-next/ 26 comments
- GitHub - AbdesamedBendjeddou/Rusty-CS: A Computer Science Curriculum with Rust flavor! https://github.com/AbdesamedBendjeddou/Rusty-CS 22 comments
- How to Get Hired as a Machine Learning Engineer https://www.infoq.com/articles/get-hired-machine-learning-engineer/ 17 comments
- GitHub - aimacode/aima-java: Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach" http://code.google.com/p/aima-java/ 17 comments
- Search Algorithms with Google Director of Research Peter Norvig - Perficient Blogs http://www.stonetemple.com/search-algorithms-with-google-director-of-research-peter-norvig/ 17 comments
- Technological Singularity and the End of Human History https://interestingengineering.com/technological-singularity-an-impending-intelligence-explosion 13 comments
- Smart classification using Bayesian monads in Haskell | Random Hacks http://www.randomhacks.net/2007/03/03/smart-classification-with-haskell/ 10 comments
- eBooks | AnalytiXon http://advanceddataanalytics.net/ebooks/ 5 comments
- GitHub - aimacode/aima-python: Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach" https://github.com/aimacode/aima-python 3 comments
- Stuart Russell: The Foundations of Artificial Intelligence https://thegradientpub.substack.com/p/stuart-russell-the-foundations-of 2 comments
- What's the difference between data science, machine learning, and artificial intelligence? – Variance Explained http://varianceexplained.org/r/ds-ml-ai/ 1 comment
- Smart classification using Bayesian monads in Haskell | Random Hacks http://www.randomhacks.net/articles/2007/03/03/smart-classification-with-haskell 1 comment
- Making Artificial Intelligence work for you: Part 1 — What is AI? | by Ronald Ashri | HackerNoon.com | Medium https://medium.com/@ronald_istos/making-artificial-intelligence-work-for-you-part-1-what-is-ai-dd7512058e0e#.t8mc55kqg 1 comment
- AI safety syllabus - 80,000 Hours https://80000hours.org/ai-safety-syllabus/ 0 comments
- Dissecting Reinforcement Learning-Part.4 https://mpatacchiola.github.io/blog/2017/02/11/dissecting-reinforcement-learning-4.html 0 comments
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