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How Renaissance Technologies Solved the Market: Part 1 – Pipeline (medium.com/ml-everything)
2 points by paulpauper on Aug 25, 2022 | past
Nassim Taleb, Absorbing Barriers and House Money (medium.com/ml-everything)
15 points by paulpauper on May 13, 2021 | past
How to spend 1,000x more money on self-driving and still lose (medium.com/ml-everything)
1 point by bko on Nov 19, 2020 | past
George Hotz on Tesla, Waymo and the self-driving industry (medium.com/ml-everything)
1 point by bko on Nov 9, 2020 | past
GPT-3 generated Nassim Taleb aphorisms (medium.com/ml-everything)
96 points by bko on Sept 7, 2020 | past | 66 comments
Demo Apps and Building a Business Off GPT-3 (medium.com/ml-everything)
3 points by bko on Sept 3, 2020 | past
Using GPT-3 to explain jokes (medium.com/ml-everything)
2 points by bko on Sept 2, 2020 | past | 1 comment
Analyzing US Senator’s Stock Picks (medium.com/ml-everything)
11 points by bko on April 12, 2020 | past
Optimal Bet Size Using Kelly Criterion (medium.com/ml-everything)
1 point by bko on March 9, 2020 | past
Buying a Home in the US Is Increasingly Attainable (medium.com/ml-everything)
1 point by bko on Feb 28, 2020 | past
Renaissance Technologies Solved the Market: Part 3 – Incentives (medium.com/ml-everything)
2 points by bko on Dec 3, 2019 | past | 2 comments
Renaissance Technologies Solved the Market: Part 2 – Hiring Academics (medium.com/ml-everything)
4 points by bko on Nov 20, 2019 | past
Renaissance Technologies Solved the Market: Part 1 – Pipeline (medium.com/ml-everything)
5 points by bko on Nov 18, 2019 | past | 1 comment
Artificial General Intelligence as a Modern Day Spiritual Conjuring (medium.com/ml-everything)
1 point by QuitterStrip on Oct 11, 2019 | past
How Facial Recognition Works Part 3, How a Face Changes over 10 Years (medium.com/ml-everything)
1 point by bko on Sept 23, 2019 | past
How Facial Recognition Works Part 2, Facial Landmarks (medium.com/ml-everything)
1 point by bko on Sept 17, 2019 | past
How Face Detection Works (medium.com/ml-everything)
3 points by bko on Aug 22, 2019 | past
Scala’s Case Class in Python with Case Matching (medium.com/ml-everything)
1 point by bko on Aug 19, 2019 | past
Facebook Derangement Syndrom and Libra (medium.com/ml-everything)
1 point by bko on July 11, 2019 | past
Calculating the Probability of Skittle Distribution by Brute Force (medium.com/ml-everything)
1 point by bko on April 18, 2019 | past
Building an Object Detection API with AWS S3, Rekognition and Lambda (medium.com/ml-everything)
1 point by bko on March 18, 2019 | past
Predicting the Stock Market, P-Hacking and Why You Should Be Bullish (medium.com/ml-everything)
3 points by bko on Nov 29, 2018 | past
Generating Letters Using Generative Adversarial Networks (medium.com/ml-everything)
13 points by bko on Nov 5, 2018 | past
Another `Variational Auto Encoders Explained` Post and Letter Encoding (medium.com/ml-everything)
1 point by bko on Oct 26, 2018 | past
Show HN: Using Linear Regression to Make Fantasy Football Picks (medium.com/ml-everything)
1 point by bko on Oct 11, 2018 | past
AI, Optimists vs. Pessimists and Why the Singularity Isn’t Near (medium.com/ml-everything)
2 points by bko on Oct 8, 2018 | past
Show HN: Ranking Reddit Bots, Lambda Architecture and File Systems as a Database (medium.com/ml-everything)
1 point by bko on Sept 19, 2018 | past | 1 comment
Show HN: Using Python and Linear Programming to Optimize Fantasy Football Picks (medium.com/ml-everything)
2 points by bko on Sept 17, 2018 | past
Show HN: Reddit Bots, Drinking from the Fire Hose and Image Colorization (medium.com/ml-everything)
8 points by bko on Sept 7, 2018 | past
Lisp, Floating Points and Muller’s Recurrence (medium.com/ml-everything)
3 points by bko on July 30, 2018 | past

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