Python 3 and Machine Learning Using ChatGPT/GPT-4

Oswald Campesato

ISBN 10: 1501522957 / ISBN 13: 9781501522956

Edité par Mercury Learning And Information, De Gruyter, 2024

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781501522956

Détails bibliographiques

• Titre: Python 3 and Machine Learning Using ChatGPT/GPT-4
• Éditeur: Mercury Learning And Information, De Gruyter
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 1501522957
• ISBN à 13 chiffres: 9781501522956
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

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.

À propos de l?auteur

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).