Algorithms for Data Science 1st edition by Brian Steele, John Chandler, Swarna Reddy 3319457977 9783319457970

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ISBN-10 ‏ : ‎3319457977 

ISBN-13 ‏ : ‎ 9783319457970

Author:  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 practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. 

 

Algorithms for Data Science 1st Table of contents:

Part 1. Data Reduction

Part 2. Data Mapping and Data Dictionaries

Part 3. Scalable Algorithms and Associative Statistics

Part 4. Hadoop and MapReduce

Part 2. Extracting Information from Data

Part 5. Data Visualization

Part 6. Linear Regression Methods

Part 7. Healthcare Analytics

Part 8. Cluster Analysis

Part 9. k-Nearest Neighbor Prediction Functions

Part 10. The Multinomial Naïve Bayes Prediction Function

Part 11. Forecasting

Part 12. Real-time Analytics

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