Python 3 and Machine Learning Using ChatGPT/GPT-4 (Paperback)

Oswald Campesato

ISBN 10: 1501522957 / ISBN 13: 9781501522956

Published by De Gruyter, New York, 2024

About this Item

Paperback. 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. 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. Companion files are available for downloading with code and figures from the text. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781501522956

Bibliographic Details

• Title: Python 3 and Machine Learning Using ChatGPT/GPT-4 (Paperback)
• Publisher: De Gruyter, New York
• Publication Date: 2024
• Language: English
• ISBN 10: 1501522957
• ISBN 13: 9781501522956
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.

About the Author

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).