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Books Written by DSA Members

Spark GraphX In Action, lead author Michael Malak, VP Data Science Association

Spark and Graphs are two tools rapidly being adopted by Data Scientists. Combine them and you get the GraphX component of Spark. Written in a way that assumes minimal Scala, the book quickly brings readers up to speed on all four: Scala, Spark, definitions from graph theory, and GraphX itself. An appendix provides three quick ways to get Spark running, and the chapters provide explicit examples from the most basic up through machine learning.

The print version was released in June, 2016.

Predictive Business Analytics, co-authored by Gary Cokins

 

Data Science Summer Reading List 2016

Data Science

 

Machine Learning

General

Predictive Analytics

Pattern Recognition

Bayesian

Data Mining

Anomaly Detection

Regression

 

Visualization

 

Math

Probability & Statistics

Pure Math

Computer Science

 

Information Theory

 

Applications

Healthcare

Finance

Science

Social Analytics

Security

 

Tools

Hadoop

NoSQL

Streaming

R

Python

Spark

 

Business

Big Data & Data Science Business Management

Societal Impact of Data Science

Leadership and Decision Making

 

Artificial Intelligence

General

Societal Impact of Artificial Intelligence

Intelligence Augmentation

 

Philosophy

Cognitive Psychology