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Python for Probability, Statistics, and Machine Learning 2024 pdf epub mobi 電子書下載

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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 2024 pdf epub mobi 電子書下載

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出版者:Springer

作者:José Unpingco

出品人:

頁數:276

譯者:

出版時間:2016-4-12

價格:USD 112.55

裝幀:Hardcover

isbn號碼:9783319307152

叢書系列:

圖書標籤: Python 機器學習數據挖掘 Programming 數據科學 DM CS

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