Python 3 and Machine Learning Using ChatGPT/GPT-4
Seiten
2024
De Gruyter (Verlag)
978-1-5015-2295-6 (ISBN)
De Gruyter (Verlag)
978-1-5015-2295-6 (ISBN)
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.
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.
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.
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).
1: Introduction to Pandas
2: Introduction to Machine Learning
3: Classifiers in Machine Learning
4: ChatGPT and GPT-4
5: GPT-4 and Linear Regression
6: Machine Learning Classifiers with GPT-4
7: Machine LearningClustering with GPT-4
8: ChatGPT and Data Visualization
Index
| Erscheinungsdatum | 13.02.2025 |
|---|---|
| Reihe/Serie | MLI Generative AI Series |
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 401 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Office Programme |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Technik | |
| ISBN-10 | 1-5015-2295-7 / 1501522957 |
| ISBN-13 | 978-1-5015-2295-6 / 9781501522956 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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