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21.8 MB
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268 pages
Machine Learning & AI
Téléchargement numériquePython 3 and Machine Learning Using ChatGPT / GPT-4
Learn Python data analysis, machine learning classifiers, GPT-4-assisted regression, and AI-powered data visualization through practical tutorials and companion code, datasets, and figures.
Python 3 and Machine Learning Using ChatGPT / GPT-4 bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and the use of GPT-4 in data science.
The book begins with a detailed introduction to Pandas, a core Python library for data manipulation and analysis. It then explores machine learning classifiers ranging from k-nearest neighbors (kNN) to support vector machines (SVMs).
Later chapters examine GPT-4’s capabilities and show how AI can enhance traditional linear regression analysis. The book also covers using ChatGPT for data visualization, demonstrating how AI can transform data into clear and compelling visual stories. Additional material introduces AI applications, generative adversarial networks (GANs), and DALL-E.
Key benefits
• Practical tutorials that reinforce learning through hands-on experience
• Coverage of modern Python tools and data-science libraries
• Companion source code, datasets, and figures
• A combined focus on Python, classical machine learning, GPT-4, and visualization
Product details
Author: Oswald Campesato
Publisher: Mercury Learning and Information
Edition: First Edition
Release date: May 20, 2024
Language: English
Format: True PDF
Detailed product information length: 268 pages
ISBN-10: 1501522957
ISBN-13: 978-1501522956
USD 14.99
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Usage personnel pour un acheteur. La revente, la redistribution et le partage des fichiers sources sont interdits.
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FAQ
Questions fréquentes
Who is the author?
Oswald Campesato.
Who is the publisher?
Mercury Learning and Information.
Which edition is included?
The first edition, released in 2024.
What format is included?
True PDF.
How many pages are listed?
The detailed product information lists 268 pages.
What topics are covered?
Pandas, machine learning classifiers, GPT-4-assisted regression, ChatGPT data visualization, AI apps, GANs, and DALL-E.
Are companion files available?
Yes. Companion source code, datasets, and figures are available for downloading.
What prior knowledge is recommended?
Basic Python knowledge is recommended for the practical examples.
Dans le produit
Tout ce dont vous avez besoin.
Rien de superflu.
Learn Python data analysis, machine learning classifiers, GPT-4-assisted regression, and AI-powered data visualization through practical tutorials and companion code, datasets, and figures.
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Build a strong foundation in classical machine learning through clear theory, essential mathematics, and hands-on Python implementations using NumPy, pandas, scikit-learn, and TensorFlow.USD 19.99