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Python Probability Statistics Machine by Unpingco José (49 results)
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Condition: Very Good. Very Good Condition. Five star seller - Buy with confidence!
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Python for Probability, Statistics, and Machine Learning
Published by Springer Nature Switzerland AG (edition 2nd ed. 2019), 2019
ISBN 10: 3030185443 ISBN 13: 9783030185442
Language: English
Hardcover. Condition: Good. 2nd ed. 2019. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Condition: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.
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Python for Probability, Statistics, and Machine Learning
Published by Springer International Publishing AG, 2019
ISBN 10: 3030185443 ISBN 13: 9783030185442
Language: English
Condition: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
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US$ 38.36
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Python for Probability, Statistics, and Machine Learning
Published by Springer International Publishing, 2023
ISBN 10: 3031046501 ISBN 13: 9783031046506
Language: English
US$ 42.87
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Add to basketCondition: Gut. Zustand: Gut | Seiten: 528 | Sprache: Englisch | Produktart: Bücher.
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Python for Probability, Statistics, and Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Python for Probability, Statistics, and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 82.06
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Python for Probability, Statistics, and Machine Learning
Published by Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketpaperback. Condition: Sehr gut. 400 Seiten; 9783030185473.2 Gewicht in Gramm: 1.
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Condition: New.
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Python for Probability, Statistics, and Machine Learning
Published by Springer International Publishing AG, 2022
ISBN 10: 3031046471 ISBN 13: 9783031046476
Language: English
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Python for Probability, Statistics, and Machine Learning
Published by Springer-Verlag GmbH, 2016
ISBN 10: 3319307150 ISBN 13: 9783319307152
Language: English
US$ 56.39
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Python for Probability, Statistics, and Machine Learning
Published by Springer International Publishing, 2020
ISBN 10: 3030185478 ISBN 13: 9783030185473
Language: English
US$ 75.55
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. 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. Detailed proofs for certain important results are also provided. Modern Python modules like Pandas, Sympy, Scikit-learn, Tensorflow, and Keras 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 updated edition now includes the Fisher Exact Test and the Mann-Whitney-Wilcoxon Test. A new section on survival analysis has been included as well as substantial development of Generalized Linear Models. The new deep learning section for image processing includes an in-depth discussion of gradient descent methods that underpin all deep learning algorithms. As with the prior edition, there are new and updated \*Programming Tips\* that the illustrate effective Python modules and methods for scientific programming and machine learning. There are 445 run-able code blocks with corresponding outputs that have been tested for accuracy. Over 158 graphical visualizations (almost all generated using Python) illustrate the concepts that are developed both in code and in mathematics. We also discuss and use key Python modules such as Numpy, Scikit-learn, Sympy, Scipy, Lifelines, CvxPy, Theano, Matplotlib, Pandas, Tensorflow, Statsmodels, and Keras.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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 93.25
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Add to basketCondition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Python for Probability, Statistics, and Machine Learning
Published by Springer International Publishing, 2023
ISBN 10: 3031046501 ISBN 13: 9783031046506
Language: English
US$ 81.85
Convert currencyUS$ 36.51 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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US$ 105.81
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Add to basketHardcover. Condition: Brand New. 3rd edition. 526 pages. 9.25x6.10x1.30 inches. In Stock.
