| 1. | | Claude 3 can generate blog posts from videos (twitter.com/mlpowered) |
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7 points by e_ameisen on March 4, 2024 | past | 1 comment
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| 2. | | ML models don't need that much data to be better than you (mlpowered.substack.com) |
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2 points by e_ameisen on March 20, 2023 | past | 1 comment
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| 3. | | Local working implementations of distributed ML model training (github.com/hundredblocks) |
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3 points by e_ameisen on Feb 21, 2023 | past
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| 4. | | Show HN: My ML applications book, which HN helped me write (sample chapter) [pdf] (mlpowered.com) |
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272 points by e_ameisen on Feb 5, 2020 | past | 37 comments
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| 5. | | Thank/Show HN: You Helped Me Write an O'Reilly Book |
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2 points by e_ameisen on Feb 5, 2020 | past
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| 6. | | End-to-End Object Detection for Furniture Using Deep Learning (insightdatascience.com) |
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1 point by e_ameisen on May 16, 2019 | past
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| 7. | | Using Transfer Learning for NLP with Small Data (insightdatascience.com) |
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2 points by e_ameisen on May 7, 2019 | past
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| 8. | | AutoML for Data Augmentation (insightdatascience.com) |
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3 points by e_ameisen on March 27, 2019 | past
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| 9. | | Tackling Bias in Machine Learning (insightdatascience.com) |
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1 point by e_ameisen on March 18, 2019 | past
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| 10. | | Better Preference Predictions: Tunable and Explainable Recommender Systems (insightdatascience.com) |
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2 points by e_ameisen on March 5, 2019 | past
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| 11. | | Why NYC Is a Great Place to Break into AI (insightdatascience.com) |
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2 points by e_ameisen on Feb 27, 2019 | past
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| 12. | | State-of-the-art pre-training for natural language processing with BERT (insightdatascience.com) |
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2 points by e_ameisen on Feb 13, 2019 | past
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| 13. | | Most impactful AI trends of 2018: the rise of ML Engineering (medium.com/p) |
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2 points by e_ameisen on Jan 4, 2019 | past | 1 comment
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| 14. | | Most impactful AI trends of 2018: the rise of ML Engineering (medium.com/emmanuelameisen) |
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2 points by e_ameisen on Jan 2, 2019 | past
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| 15. | | Generating custom photo-realistic faces using AI (insightdatascience.com) |
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11 points by e_ameisen on Oct 25, 2018 | past
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| 16. | | How to deliver on Machine Learning projects (insightdatascience.com) |
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2 points by e_ameisen on Oct 4, 2018 | past
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| 17. | | Preparing for the Transition to DevOps Engineering (insightdatascience.com) |
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4 points by e_ameisen on Sept 20, 2018 | past
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| 18. | | The Unreasonable Effectiveness of Deep Learning Representations (insightdatascience.com) |
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9 points by e_ameisen on July 5, 2018 | past | 1 comment
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| 19. | | A Journey Through Spark (insightdatascience.com) |
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3 points by e_ameisen on July 3, 2018 | past
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| 20. | | Reinforcement Learning from scratch (insightdatascience.com) |
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221 points by e_ameisen on June 7, 2018 | past | 25 comments
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| 21. | | AI at massive scale, and Reinforcement Learning in industry (insightdatascience.com) |
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4 points by e_ameisen on May 8, 2018 | past
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| 22. | | Automated front-end development using deep learning (insightdatascience.com) |
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3 points by e_ameisen on March 20, 2018 | past
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| 23. | | Always start with a stupid model, no exceptions (insightdatascience.com) |
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11 points by e_ameisen on March 7, 2018 | past
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| 24. | | Always start with a stupid model, no exceptions (insightdatascience.com) |
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2 points by e_ameisen on March 6, 2018 | past
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| 25. | | Predicting e-sports winners with Machine Learning (insightdatascience.com) |
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3 points by e_ameisen on March 2, 2018 | past
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| 26. | | How to solve most NLP problems: a step-by-step guide (insightdatascience.com) |
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461 points by e_ameisen on Jan 24, 2018 | past | 74 comments
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| 27. | | Deep Learning for Disaster Recovery (insightdatascience.com) |
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3 points by e_ameisen on Dec 15, 2017 | past
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| 28. | | NIPS 2017 – Day 3 Highlights (insightdatascience.com) |
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2 points by e_ameisen on Dec 7, 2017 | past
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| 29. | | NIPS 2017 – Day 2 Highlights (insightdatascience.com) |
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3 points by e_ameisen on Dec 6, 2017 | past
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| 30. | | NIPS 2017 – Day 1 Highlights (insightdatascience.com) |
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2 points by e_ameisen on Dec 5, 2017 | past
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More |
