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ISBN 10: 1683924959 ISBN 13: 9781683924951
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In den WarenkorbZustand: 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.
Verlag: Mercury Learning & Information, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
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In den WarenkorbPaperback. Zustand: 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.
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ISBN 10: 1501522957 ISBN 13: 9781501522956
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In den WarenkorbPaperback. Zustand: 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.
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In den WarenkorbPaperback. Zustand: 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.
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In den WarenkorbTaschenbuch. Zustand: 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.
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Mercury Learning And Information, De Gruyter Mär 2020, 2020
ISBN 10: 1683924959 ISBN 13: 9781683924951
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -No detailed description available for 'Python 3 for Machine Learning'. 362 pp. Englisch.
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ISBN 10: 1683924959 ISBN 13: 9781683924951
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ISBN 10: 1501522957 ISBN 13: 9781501522956
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In den Warenkorbpaperback. Zustand: 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.
Verlag: Machinery Industry Press, 2021
ISBN 10: 7111695240 ISBN 13: 9787111695240
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In den Warenkorbpaperback. Zustand: 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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ISBN 10: 1501522957 ISBN 13: 9781501522956
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In den WarenkorbKartoniert / Broschiert. Zustand: 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.
Verlag: Mercury Learning and Information, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
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Verlag: Mercury Learning And Information, De Gruyter Mai 2024, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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.Walter de Gruyter, Genthiner Straße 13, 10785 Berlin 288 pp. Englisch.
Verlag: Mercury Learning And Information Mai 2024, 2024
ISBN 10: 1501522957 ISBN 13: 9781501522956
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: 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.