Designing Machine Learning Systems | book summary | Read a book with me

Hi, in this video, I am going to summarize the book Designing Machine Learning Systems by Chip Huyen. This book covers a lot of machine learning system-related information including data formats, how to deal with imbalanced data, how to deal with missing data, how to evaluate models, how to improve model performance, how to monitor and test models in production, how to deal with data shifts, how to do continual learning, and many more. I’m going to summarize and highlight key points of the book, especially the following book chapters:
- Data Engineering Fundamentals
- How to create training data
- Feature Engineering
- Model Development and Offline Evaluation
- Model Deployment and Prediction Service
- Data Distribution Shifts and Monitoring
- Continual Learning and Test in Production
Hope you find this video helpful. Thanks for watching 🤗

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