Linking pages
- GitHub - karanpratapsingh/system-design: Learn how to design systems at scale and prepare for system design interviews https://github.com/karanpratapsingh/system-design 331 comments
- Didact AI: The anatomy of an ML-powered stock picking engine · Principia Mundi https://principiamundi.com/posts/didact-anatomy/ 103 comments
- Deep Reinforcement Learning Doesn't Work Yet https://www.alexirpan.com/2018/02/14/rl-hard.html 90 comments
- Building an image search service from scratch | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/the-unreasonable-effectiveness-of-deep-learning-representations-4ce83fc663cf 36 comments
- Recommending music on Spotify with deep learning – Sander Dieleman http://benanne.github.io/2014/08/05/spotify-cnns.html 23 comments
- Why You Should Not Build a Recommendation Engine — Data Community DC http://www.datacommunitydc.org/blog/2013/05/recommendation-engines-why-you-shouldnt-build-one 16 comments
- taar/README.md at main · mozilla/taar · GitHub https://github.com/mozilla/taar/blob/master/README.md#how-does-it-work 6 comments
- Methods for Finding Related Reddit Subreddits with Simple Set Theory | Max Woolf's Blog http://minimaxir.com/2016/06/reddit-related-subreddits/ 5 comments
- Box Graph: how we built a spontaneous social network | Box Blog https://blog.box.com/blog/box-graph-how-we-built-spontaneous-social-network/ 3 comments
- How Airbnb uses Machine Learning to Detect Host Preferences | by AirbnbEng | The Airbnb Tech Blog | Medium http://nerds.airbnb.com/host-preferences/ 1 comment
- Israel, Gaza, War & Data. social networks and the art of… | by Gilad Lotan | i ❤ data | Medium https://medium.com/i-data/israel-gaza-war-data-a54969aeb23e 1 comment
- DEEP BEERS: Improving the performance of deep recommendation engines using Keras | by Pierre Gutierrez | data from the trenches | Medium https://medium.com/data-from-the-trenches/deep-beers-improving-the-performance-of-deep-recommendation-engines-using-keras-73c32e4a192a 1 comment
- The Internet is HUGE and search engines and social media are only showing you a tiny fraction of it. | by Gimme Serendipity | Medium https://medium.com/@GimmeSerendipi1/the-internet-is-huge-and-search-engines-and-social-media-are-only-showing-you-a-tiny-fraction-of-fef6a333c0c 1 comment
- The Second Coming of the Search Engine https://mmry.io/blog/20210807-the-second-coming-of-the-search-engine 0 comments
- AI for Software Developers: a Future or a New Reality? https://www.infoq.com/articles/ai-for-software-developers/ 0 comments
- First steps in data science: author-aware sentiment analysis | Yanir Seroussi | Data science and beyond http://yanirseroussi.com/2015/05/02/first-steps-in-data-science-author-aware-sentiment-analysis/ 0 comments
- Better Preference Predictions: Tunable and Explainable Recommender Systems | by Amber Roberts | Insight https://blog.insightdatascience.com/tunable-and-explainable-recommender-systems-cd52b6287bad 0 comments
- Uncovering similarities and concepts at scale http://tvas.me/research/2019/07/02/Finding-graph-similarities.html 0 comments
- Understanding the Shape of Large-Scale Data – Google AI Blog https://ai.googleblog.com/2020/05/understanding-shape-of-large-scale-data.html 0 comments
- Multi-armed bandits for dynamic movie recommendations | by Brian O'Gorman | Insight https://blog.insightdatascience.com/multi-armed-bandits-for-dynamic-movie-recommendations-5eb8f325ed1d 0 comments
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