Book Watch

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Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some but by no means all of the books in Book Watch are eventually reviewed.


The Little Book of Data (HarperCollins)
11 Jul

Subtitled "Understanding the Powerful Analytics that Fuel AI, Make or Break Careers, and Could Just End Up Saving the World", in this book Justin Evans shows how data is not about number crunching. It's about ideas, and that AI is just an accelerated way to put data to work. Each chapter illustrates one of the core principles of solving problems with data by featuring an expert who has solved a big problem with data, from the entrepreneur creating a “loneliness score” to the epidemiologist trying to save lives by finding disease “hotspots.”



Practical Deep Learning, 2nd Ed (No Starch Press)
09 Jul

Subtitled "A Python Introduction", this book shows how to build working models for tasks from image analysis to creative writing using Python. Ronald T. Kneusel emphasizes practical skill development and experimentation, building to a case study that incorporates everything covered so far to classify audio recordings. Examples of working code you can easily run and modify are provided, and all code is freely available on GitHub.



Grokking Relational Database Design (Manning)
07 Jul

This book teaches the art of database design through real-world projects, insightful illustrations, and action-oriented learning. Unlike many beginning database books that focus on the technical details of SQL and formal database theory, in this book Qiang Hao and Michail Tsikerdekis teach how to think about relational database design from the ground up. The authors also explore how generative AI tools such as ChatGPT radically simplify the mundane tasks of database design.


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