TY  - BOOK
AU  - Cady, Field
TI  - The Data Science Handbook
SN  - 9781119092940
U1  - 005.74 
PY  - 2017///
CY  - Hoboken
PB  - John and Wiley Sons, Inc.
KW  - Statistics - Data processing - Handbooks, manuals
N1  - 1.	Introduction: Becoming a Unicorn
Part 1 The Stuff You'll Always Use
2.	The Data Science Road Map
3.	Programming Languages 
4.	Data Munging: String Manipulation, Regular Expressions, and Data Cleaning 
5.	Visualizations and Simple Metrics 
6.	Machine Learning Overview 
7.	Interlude: Feature Extraction Ideas
8.	Machine Learning Classification 
9.	Technical Communication and Documentation
Part II Stuff You Still Need to Know
10.	Unsupervised Learning: Clustering and Dimensionality Reduction
11.	Regression 
12.	Data Encodings and File Formats
13.	Big Data 
14.	Databases 
15.	Software Engineering Best Practices 
16.	Natural Language Processing 
17.	Time Series Analysis
18.	Probability 
19.	Statistics 
20.	Programming Language Concepts
21.	Performance and Computer Memory

Part III Specialized or Advanced Topics
22.	Computer Memory and Data Structures
23.	Maximum Likelihood Estimation and Optimization 
24.	Advanced Classifiers
25.	Stochastic Modeling
ER  -