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 :|
|License:||CC BY-NC-ND 4.0|
|Author(s):||Ani Adhikari, John DeNero|
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