Data Science From Scratch
First Principles With PythonBook - 2015
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 maniuplate 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.
Publisher: [Sebastopol, California] :, O'Reilly,, .
Copyright Date: ?2015
Characteristics: xvi, 311 pages :,illustrations ;,24 cm.