Download the fantastic book titled Data Science from Scratch written by Joel Grus, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Science from Scratch", which was released on 14 April 2015. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Data Science from Scratch by Joel Grus PDF
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. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Detail About Data Science from Scratch PDF
- Author : Joel Grus
- Publisher : "O'Reilly Media, Inc."
- Genre : Computers
- Total Pages : 330 pages
- ISBN : 1491904402
- Release Date : 14 April 2015
- PDF File Size : 17,6 Mb
- Language : English
- Rating : 5/5 from 1 reviews
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