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Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to ru
Interpretable Machine Learning
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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Practical Deep Learning for Cloud, Mobile, and Edge
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Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the nex
Machine Learning Pocket Reference
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With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers
Introduction to TInyML
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This book is an effort by AI Technology & Systems to demystify the TinyML technology including market, applications, algorithms, tools and technology. the book