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Introduction Statistical Learning Applications Python by James Gareth Daniela Witten Trevor (24 results)
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US$ 66.16
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
Seller: Books From California, Simi Valley, CA, U.S.A.
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paperback. Condition: Very Good. Cover and edges may have some wear.
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An Introduction to Statistical Learning: with Applications in Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
Seller: Jadewalky Book Company, HANOVER PARK, IL, U.S.A.
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First Edition
Hardcover. Condition: Fine. 1st Edition. gated Perfect condition gift quality, shrink-wrapped and shipped in bubble mailer.
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An Introduction to Statistical Learning : with Applications in Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.55
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An Introduction to Statistical Learning : with Applications in Python
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hardcover. Condition: Good. May contain highlighting/underlining/notes/etc. May have used stickers on cover. Access codes and supplements are not guaranteed to be included with used books. Ships same or next day. Expedited shipping: 3-5 business days, Standard shipping: 4-14 business days.
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
First Edition
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Introduction to Statistical Learning : With Applications in Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Introduction to Statistical Learning : With Applications in Python
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Add to basketHardcover. Condition: Brand New. 607 pages. 10.00x7.00x1.50 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 607 pages. 10.00x7.00x1.50 inches. In Stock.
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An Introduction to Statistical Learning with Applications in Python
Published by (Springer, Switzerland, 2023), 2023
Seller: Alcuin Books, ABAA/ILAB, Scottsdale, AZ, U.S.A.
Seller rating 5 out of 5 stars
First Edition
First Edition. Large Octavo. 607 pages Written by four experts of the field, this book offers an excellent entry to statistical learning to a broad audience, including those without strong background in mathematics. The focus is on explanation of concepts, description of methods, application of software,and interpretation of results. A reader only needs to know the basic concepts from an algebra-based elementary probability course, such as random variables, probability distribution, expectation, variance, conditional probability, and the Bayes theory. A fine copy bound in yellowpurple, red, blue and green paper covered boards lettered in yellow, white, and black.
