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python probability statistics machine learning

Type:: E-books
Files:: 6
Size:: 9.3 MB
Uploaded On:: July 10, 2018, 8:50 a.m.
Added By:: bookflare
Seeders:: 15
Leechers:: 0
Info Hash:: 5A8BF2FE63C7F9500C8C88EA1C75839A0A5C3F3F

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

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Python for Probability, Statistics, and Machine Learning.zip 9.3 MB

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python probability statistics machine learning

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