Python 3 and Machine Learning Using ChatGPT/GPT-4
Series: MLI Generative AI Series;
- Publisher's listprice EUR 49.95
-
21 188 Ft (20 179 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 5% (cc. 1 059 Ft off)
- Discounted price 20 129 Ft (19 170 Ft + 5% VAT)
21 188 Ft
Availability
printed on demand
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Mercury Learning and Information
- Date of Publication 31 May 2024
- ISBN 9781501522956
- Binding Paperback
- No. of pages268 pages
- Size 0x0x0 mm
- Weight 401 g
- Language English 616
Categories
Long description:
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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