Joel Grus
Data Science from Scratch: First Principles with Python
Data Science from Scratch: First Principles with Python
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Excellent- More about Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are essential for diving into the discipline but can also be a good way to learn how they work. Joel Grus' book provides the know-how to dig out answers to questions no one has thought to ask, with an aptitude for mathematics and programming skills.
Format: Paperback / softback
Length: 500 pages
Publication date: 30 April 2019
Publisher: O'Reilly Media, Inc, USA
Data science libraries, frameworks, modules, and toolkits are invaluable resources for anyone looking to delve into the field of data science. However, it's important to note that these tools can also serve as a gateway into the discipline without a deep understanding of its core principles. In this revised and updated second edition, author Joel Grus aims to empower readers with the knowledge and skills necessary to implement fundamental data science tools and algorithms from scratch. Whether you have a strong aptitude for mathematics and programming or are just starting your journey into data science, this book will guide you through the math and statistics required to excel in the field.
Furthermore, it will equip you with the essential hacking skills needed to get started as a data scientist. With the vast amount of data available today, there are countless opportunities to uncover insights and answer questions that were previously unimaginable. This book provides the roadmap to navigate this complex landscape and extract valuable information from the data. Whether you're a business analyst, data engineer, or researcher, this comprehensive guide will help you unlock the power of data science and make informed decisions based on empirical evidence. So, whether you're just starting your data science journey or looking to expand your skills, this book is a must-read for anyone interested in leveraging the power of data to drive innovation and growth.
Weight: 696g
Dimension: 177 x 232 x 23 (mm)
ISBN-13: 9781492041139
Edition number: 2 New edition
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