| 1. | | The investor's approach to Machine Learning projects (louisdorard.com) |
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2 points by louisdorard on Nov 10, 2020 | past
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| 2. | | Architecture of a real-world Machine Learning system (medium.com/louisdorard) |
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1 point by louisdorard on April 16, 2020 | past
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| 3. | | 5 Challenges to Running Machine Learning Systems in Production (mlinproduction.com) |
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10 points by louisdorard on April 13, 2020 | past
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| 4. | | An overview of Machine Learning development platforms (linkedin.com) |
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2 points by louisdorard on April 13, 2020 | past
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| 5. | | The Machine Learning Canvas – template and handbook (free download) (medium.com/louis-dorard) |
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2 points by louisdorard on Feb 12, 2019 | past | 1 comment
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| 6. | | From Data to AI with the Machine Learning Canvas (medium.com/louisdorard) |
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2 points by louisdorard on Nov 25, 2016 | past
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| 7. | | What developers actually need to know about Machine Learning (papis.io) |
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2 points by louisdorard on April 7, 2016 | past
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| 8. | | What Future for the AI Behind Google DeepMind’s AlphaGo? (medium.com/papis-stories) |
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2 points by louisdorard on Feb 18, 2016 | past
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| 9. | | Trusting AI with important decisions: capabilities and challenges (medium.com/papis-stories) |
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3 points by louisdorard on Jan 7, 2016 | past
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| 10. | | How to choose a machine learning API to build predictive apps (medium.com/louisdorard) |
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1 point by louisdorard on July 21, 2015 | past | 1 comment
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| 11. | | Amazon Machine Learning vs. Google Prediction API (and Competitors) (louisdorard.com) |
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2 points by louisdorard on May 8, 2015 | past | 4 comments
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| 12. | | Open source machine learning templates for e-commerce (prediction.io) |
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1 point by louisdorard on March 9, 2015 | past
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| 13. | | Ways that Data Science can improve your business (louisdorard.com) |
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1 point by louisdorard on Jan 13, 2015 | past
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| 14. | | PAPIs.io 2014 Call for Proposals – Predictive APIs and Apps (papis.io) |
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1 point by louisdorard on Sept 29, 2014 | past
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| 15. | | Questions you should ask about prediction APIs (programmableweb.com) |
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2 points by louisdorard on Sept 13, 2014 | past | 1 comment
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| 16. | | Building a real estate pricing model with BigML (louisdorard.com) |
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3 points by louisdorard on Aug 5, 2014 | past
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| 17. | | How to predict abstention rates with open data (louisdorard.com) |
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3 points by louisdorard on July 29, 2014 | past
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| 18. | | How to improve your subscription-based business by predicting hurn (kissmetrics.com) |
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6 points by louisdorard on June 27, 2014 | past | 2 comments
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| 19. | | Optimizely Acquires Machine Learning Startup Synference (yahoo.com) |
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3 points by louisdorard on June 26, 2014 | past | 1 comment
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| 20. | | How connected objects are predicting your next move (rudebaguette.com) |
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1 point by louisdorard on June 16, 2014 | past
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| 21. | | Automating the Data Scientist (louisdorard.com) |
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1 point by louisdorard on May 19, 2014 | past
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| 22. | | Building a business around machine learning APIs (louisdorard.com) |
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3 points by louisdorard on May 12, 2014 | past
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| 23. | | The goal of data scientists is to put themselves out of business (gigaom.com) |
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2 points by louisdorard on May 7, 2014 | past
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| 24. | | Show HN: Bootstrapping Machine Learning (louisdorard.com) |
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8 points by louisdorard on May 7, 2014 | past | 3 comments
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| 25. | | Apigee Unveils Latest Version of Apigee Insights Analytics Platform (programmableweb.com) |
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1 point by louisdorard on April 12, 2014 | past
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| 26. | | 2014 will be the year you'll learn Machine Learning (louisdorard.com) |
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3 points by louisdorard on March 7, 2014 | past
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| 27. | | Bootstrapping Machine Learning: overview and case study (louisdorard.com) |
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2 points by louisdorard on March 5, 2014 | past
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| 28. | | Show HN: a model of email importance that’s not based on content (bigml.com) |
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2 points by louisdorard on March 4, 2014 | past
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| 29. | | Learnings from running my first online workshop (louisdorard.com) |
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1 point by louisdorard on Jan 3, 2014 | past
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| 30. | | Going to Silicon Valley? Plan carefully (louisdorard.com) |
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58 points by louisdorard on Dec 20, 2013 | past | 41 comments
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More |
