Book, reference or resource with similar info from week 1 ML Strategy

I really liked the information from week one on ML strategy. Does anyone have a good book or another source for more on ML strategy? Ideally a short cookbook on ML strategy would be great.

Here are the books you might find helpful:

“Machine Learning Yearning” by Andrew Ng: This is a concise and practical guide that focuses on how to structure machine learning projects. It’s written in a very accessible style and provides a lot of strategic insights.

“Designing Machine Learning Systems” by Chip Huyen: t provides practical insights into building and deploying machine learning systems with a strong emphasis on the design and operational aspects.