Data Science from Scratch: First Principles with Python

Data Science from Scratch is a comprehensive guide to mastering data science, with a focus on practical implementation and understanding of the underlying principles.

The book covers a wide range of topics, including linear algebra, statistics, probability, machine learning, natural language processing, and more.

With its updated coverage of deep learning, this second edition is the perfect resource for anyone looking to start or advance their career in data science.

Joel Grus' expertise as a research engineer at the Allen Institute for Artificial Intelligence and his experience working at Google and several startups make him the ideal guide for this journey.

Whether you're a beginner or an experienced professional, this book will provide you with the tools and knowledge you need to succeed in data science.