Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical tests and models.
Step by step, you'll learn how to leverage algorithmic thinking and the power of code, gain intuition about the power and limitations of current machine learning methods, and effectively apply them to real business problems.
Pages : | /Paperback N/A |
Size : | HTML and PDF (646 pages) |
File type : | |
Downloads: | 53 |
Created: | 2020-08-28 |
License: | CC BY-NC-ND 4.0 |
Author(s): | Ani Adhikari, John DeNero |
This book is designed for a first course1 in computer science that uses C++ as the language by which programming is studied. My goal in writing the book has not been to cover the syntax of a large language like C++, but to leverage the best features of the language using sound practices of prog...
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