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Data Science From Scratch : First Principles with Python by Joel Grus is a nonfiction available to read on EtoBox.

What is Data Science From Scratch : First Principles with Python about?

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out. Preface to the Second Edition 5 Conventions Used in This Book 5 Using Code Examples 6 O’Reilly Online Learning 7 How to Contact Us 8 Acknowledgments 9 Preface to the First Edition 11 Data Science 11 From Scratch 12 1. Introduction 15 The Ascendance of Data 15 What Is Data Science? 15 Motivating Hypothetical: DataSciencester 17 Finding Key Connectors 17 Data Scientists You May Know 21 Salaries and Experience 24 Paid Accounts 27 Topics of Interest 28 Onward

Who reads Data Science From Scratch : First Principles with Python?

Author

Joel Grus

Publisher

O'Reilly Media, Incorporated

Published

2019

Language

EN

ISBN

9781492041139

Category

nonfiction

Subjects

Science, Language Learning, Mathematics

Rating

3.93 / 5 (68 ratings)

Updated

2026-03-14