Items related to Python for Probability, Statistics, and Machine Learning
- PublisherSpringer
- Publication date2022
- ISBN 10 3031046471
- ISBN 13 9783031046476
- BindingHardcover
- LanguageEnglish
- Edition number3
- Number of pages526
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Python for Probability, Statistics, and Machine Learning
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Python for Probability, Statistics, and Machine Learning
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Python for Probability, Statistics, and Machine Learning
Published by
Springer International Publishing AG, 2022
ISBN 10: 3031046471
ISBN 13: 9783031046476
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Python for Probability, Statistics, and Machine Learning
Published by
Springer International Publishing AG, 2022
ISBN 10: 3031046471
ISBN 13: 9783031046476
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Hardcover
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Python for Probability, Statistics, and Machine Learning
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Python for Probability, Statistics, and Machine Learning
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Python for Probability, Statistics, and Machine Learning
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Python for Probability, Statistics, and Machine Learning
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Python for Probability, Statistics, and Machine Learning
Published by
Springer International Publishing Nov 2022, 2022
ISBN 10: 3031046471
ISBN 13: 9783031046476
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses. To clearly connect theoretical concepts to practical implementations, the author provides many worked-out examples along with 'Programming Tips' that encourage the reader to write quality Python code. The entire text, including all the figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the same code on their own computers.Modern Python modules like Pandas, Sympy, Scikit-learn, Statsmodels, Scipy, Xarray, Tensorflow, and Keras are used to implement and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, interpretability, and regularization. Many abstract mathematical ideas, such as modes of convergence in probability, are explained and illustrated with concrete numerical examples. This book is suitable for anyone with undergraduate-level experience with probability, statistics, or machine learning and with rudimentary knowledge of Python programming. 528 pp. Englisch. Seller Inventory # 9783031046476
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Python for Probability, Statistics, and Machine Learning
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Hardcover. Condition: Brand New. 3rd edition. 526 pages. 9.25x6.10x1.30 inches. In Stock. Seller Inventory # __3031046471
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