An introduction to data science with Python

Select an Action

Title:

Author:

Saltz, Jeffrey S., author.

ISBN:

9781071850657

Personal Author:

Saltz, Jeffrey S., author.

Physical Description:

xv, 290 pages : illustrations ; 24 cm

Contents:

Introduction-data science, many skills -- Begin at the beginning with Python -- Rows and columns -- Data munging -- What's my function? -- Beer, farms, peas, and statistics -- Sample in a jar -- Storage wars -- Pictures versus numbers -- Map magic -- Linear models -- Classic classifiers -- Left unsupervised -- Words of wisdom : doing text analysis -- In the shallows of deep learning.

Abstract:

"An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool"-- Provided by publisher.

Subject Term:

Data mining.

Python (Computer program language)

Added Author:

Stanton, Jeffrey M., 1961-

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIESDN	1:GEN-BOOK	002215411	006.3 SAL	1	Searching... Unknown

Bound With These Titles

On Order

Summary

An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool. Included with this title: LMS Cartridge: Import this title's instructor resources into your school's learning management system (LMS) and save time. Don′t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.