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Python for Probability, Statistics, and Machine Learning


Huge Savings Item! Save 16% on the Python for Probability, Statistics, and Machine Learning by Springer at EMS Linux. MPN: 103 black & white illustrations, 7 colou. Hurry! Limited time offer. Offer valid only while supplies last. This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas.  The entire


Product Description

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 notebooks, 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.

Additional Information

Manufacturer:Springer
Part Number:103 black & white illustrations, 7 colou
Publisher:Springer
Studio:Springer
MPN:103 black & white illustrations, 7 colou
EAN:9783319307152
Item Weight:0 pounds
Item Size:0.69 x 9.21 x 9.21 inches
Package Weight:0.45 pounds
Package Size:6.5 x 0.8 x 0.8 inches

Python for Probability, Statistics, and Machine Learning by Springer

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Python for Probability, Statistics, and Machine Learning

Brand: Springer
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