Algorithms for data science [E-Book] / Brian Steele, John Chandler, Swarna Reddy
This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But pra...
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Full text |
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Personal Name(s): | Steele, Brian, author |
Chandler, John, author / Reddy, Swarna, author | |
Imprint: |
Cham :
Springer,
2016
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Physical Description: |
XXIII, 430 pages 48 illustrations (online resource) |
Note: |
englisch |
ISBN: |
9783319457970 |
DOI: |
10.1007/978-3-319-45797-0 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- Introduction
- Data Mapping and Data Dictionaries
- Scalable Algorithms and Associative Statistics
- Hadoop and MapReduce
- Data Visualization
- Linear Regression Methods
- Healthcare Analytics
- Cluster Analysis
- k-Nearest Neighbor Prediction Functions
- The Multinomial Naive Bayes Prediction Function
- Forecasting
- Real-time Analytics.