Data science is a rapidly growing field that requires a strong understanding of various technologies and techniques. Online tech books are an excellent resource for data scientists, providing detailed explanations and examples of the latest techniques and technologies. Here are some of the best online tech books for data scientists:
"Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili: This book is a comprehensive guide to machine learning with Python, covering a wide range of techniques and algorithms.
"Data Science from Scratch" by Joel Grus: This book provides a comprehensive introduction to data science, covering the basics of statistics, programming, and data analysis.
"Introduction to Machine Learning with Python" by Andreas Müller and Sarah Guido: This book is a beginner-friendly guide to machine learning with Python, covering a wide range of techniques and algorithms.
"Deep Learning" by Yoshua Bengio, Ian Goodfellow, and Aaron Courville: This book provides a comprehensive introduction to deep learning, covering the latest techniques and technologies in the field.
"Data Science for Business" by Foster Provost and Tom Fawcett: This book provides a comprehensive introduction to data science, specifically tailored for business professionals.
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