Python for Probability Statistics and Machine Learning

$15.99

Python for Probability Statistics and Machine Learning
Authors: José Unpingco
Year: 2016
Publisher: Springer International Publishing
Language: English
ISBN 13: 9783319307176
ISBN 10: 3319307177
Categories: Computers, Artificial Intelligence (AI)
Pages: 320 / 319
Edition: 1st

Availability: 5000 in stock

SKU: 9783319307176 Categories: ,

Python for Probability, Statistics, and Machine Learning José Unpingco
This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible using the Python codes and their associated Jupyter/IPython notbooks, which are provided as supplementary downloads. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Modern Python modules like Pandas, Sympy, and Scikit-learn are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming.
Categories:
Computers – Artificial Intelligence (AI)
Year:
2016
Edition:
1st
Publisher:
Springer International Publishing
Language:
english
Pages:
288
ISBN 10:
3319307177
ISBN 13:
9783319307176
File:
14 MB

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Python for Probability Statistics and Machine Learning
$15.99

Availability: 5000 in stock