Data Science From Scratch

Data Science From Scratch

First Principles With Python

Book - 2015
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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. In this book, 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.
Publisher: Sebastopol, CA :, O'Reilly,, [2015]
Edition: First edition.
ISBN: 9781491901427
149190142X
Characteristics: xvi, 311 pages : illustrations ; 24 cm.
Contents: Introduction
A crash course in Python
Visualizing data
Linear algebra
Statistics
Probability
Hypothesis and inference
Gradient descent
Getting data
Working with data
Machine learning
k-Nearest neighbors
Naive bayes
Simple linear regression
Multiple regression
Logistic regression
Decision trees
Neural networks
Clustering
Natural language processing
Network analysis
Recommender systems
Databases and SQL
MapReduce
Go forth and do data science.
Summary: 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. In this book, 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.

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