Published by Mercury Learning & Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Paperback. Condition: Very Good.
Published by Mercury Learning and Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: Ammareal, Morangis, France
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Add to basketCondition: Comme neuf. Edition 2020. Tome 3. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, As new. Edition 2020. Volume 3. Ammareal gives back up to 15% of this item's net price to charity organizations.
Published by Mercury Learning and Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Mercury Learning and Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: California Books, Miami, FL, U.S.A.
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Published by Mercury Learning and Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Mercury Learning and Information, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Paperback. Condition: New. This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.
Published by Mercury Learning & Information 3/30/2020, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Python 3 for Machine Learning. Book.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.
Published by Mercury Learning and Information 5/31/2024, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Python 3 and Machine Learning Using Chatgpt/GPT-4. Book.
Published by Mercury Learning and Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Mercury Learning and Information, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Mercury Learning and Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
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Published by Mercury Learning and Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Kennys Bookstore, Olney, MD, U.S.A.
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Add to basketCondition: New. 2024. perfect. . . . . . Books ship from the US and Ireland.
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Add to basketPaperback. Condition: New. This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.
Published by Mercury Learning And Information, De Gruyter Mär 2020, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
US$ 65.66
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Add to basketTaschenbuch. Condition: Neu. Neuware -No detailed description available for 'Python 3 for Machine Learning'. 362 pp. Englisch.
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Add to basketTaschenbuch. Condition: Neu. Python 3 for Machine Learning | Oswald Campesato | Taschenbuch | 1: Introduction to Python 3 2: Conditional Logic | Englisch | 2020 | De Gruyter | EAN 9781683924951 | Verantwortliche Person für die EU: De Gruyter [9], Genthiner Str. 13, 10785 Berlin, orders[at]degruyter[dot]com | Anbieter: preigu.
Published by Machinery Industry Press, 2021
ISBN 10: 7111695240 ISBN 13: 9787111695240
Language: English
Seller: liu xing, Nanjing, JS, China
US$ 123.58
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-11-01 Pages: 244 Publisher: Machinery Industry Press This book aims to provide readers with basic programming concepts related to machine learning in Python 3. The first 4 chapters provide a quick introduction to Python 3. NumPy. and Pandas. Chapter 5 introduces the basic concepts of machine learning. Chapter 6 focuses on machine learning classifiers such as logistic regression. kNN. decision trees. random forests. and SVMs. Chapter 7 introduces natural language proc.
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Add to basketPaperback. Condition: New. This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.
Published by Machinery Industry Press, 2021
ISBN 10: 7111695240 ISBN 13: 9787111695240
Language: Chinese
Seller: liu xing, Nanjing, JS, China
US$ 123.58
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-11-01 Pages: 244 Publisher: Machinery Industry Press This book aims to provide readers with basic programming concepts related to machine learning in Python 3. The first 4 chapters provide a quick introduction to Python 3. NumPy. and Pandas. Chapter 5 introduces the basic concepts of machine learning. Chapter 6 focuses on machine learning classifiers such as logistic regression. kNN. decision trees. random forests. and SVMs. Chapter 7 introduces natural language proc.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Mercury Learning and Information, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Language: English
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Mercury Learning and Information, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Mercury Learning And Information Mai 2024, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 59.68
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text. 268 pp. Englisch.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -No detailed description available for 'Python 3 for Machine Learning'. 362 pp. Englisch.
Seller: moluna, Greven, Germany
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Programmers who want to get up to speed in Python 3 will appreciate O. Campesato s Python 3 for Machine Learning, a survey of basic Python 3 programming concepts, applications, expressions, and machine learning relationships. This introduction is pac.
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).