Data science from scratch : first principles with Python
(2019)
Nonfiction
Book
Call Numbers:
006.312/GRUS,J
Availability
Details
PUBLISHED
Sebastopol, CA : O'Reilly Media, 2019
EDITION
Second edition
DESCRIPTION
xvii, 384 pages : illustrations ; 24 cm
ISBN/ISSN
9781492041139, 1492041130 :, 9781492041139 (pbk.) 107490, 1492041130 (pbk.)
LANGUAGE
English
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 --
Deep learning --
Clustering --
Natural language processing --
Network analysis --
Recommender systems --
Databases and SQL --
MapReduce --
Data ethics --
Go forth and do data science