The Data Science Design Manual /
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and...
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| Format: | Book |
| Language: | English |
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Cham, Switzerland :
Springer,
c2017
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| Series: | Texts in Computer Science,
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| Classic Catalogue: | View this record in Classic Catalogue |
Table of Contents:
- What is Data Science?
- Mathematical Preliminaries
- Data Munging
- Scores and Rankings
- Statistical Analysis
- Visualizing Data
- Mathematical Models
- Linear Algebra
- Linear and Logistic Regression
- Distance and Network Methods
- Machine Learning
- Big Data: Achieving Scale.