Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning application, and that you want to make rapid progress. This book will help you do so.
节目(15)
切换顺序- 14. Evaluate multiple ideas in parallel53304:41
- 13. Error Analysis: Look at dev set examples to evaluate28204:22
- 12: Takeaways: Setting up development and test sets18002:39
- 11. When to change dev/test sets and metrics23406:10
- 10. Having a dev set and metric speeds up iterations17402:38
- 9. Satisfy big metric21403:37
- 8. Establish a single-number evaluation metric for your team21403:01
- 7. How large do the dev/test sets need to be?20902:37
- 6. Your dev and test sets should come from the same distrib20304:14
- 5. Your development and test sets23305:01
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