Python 3 and Machine Learning Using ChatGPT/GPT-4 / / Oswald Campesato.

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...

Full description

Saved in:
Bibliographic Details
VerfasserIn:
Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2024]
©2024
Year of Publication:2024
Language:English
Series:MLI Generative AI Series
Online Access:
Physical Description:1 online resource
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 03465nam a2200565 4500
001 9781501520112
003 DE-B1597
005 20240703114541.0
006 m|||||o||d||||||||
007 cr || ||||||||
008 240703t20242024xxu fo d z eng d
020 |a 9781501520112 
024 7 |a 10.1515/9781501520112  |2 doi 
035 |a (DE-B1597)685363 
040 |a DE-B1597  |b eng  |c DE-B1597  |e rda 
041 0 |a eng 
044 |a xxu  |c US 
072 7 |a COM051390  |2 bisacsh 
100 1 |a Campesato, Oswald,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Python 3 and Machine Learning Using ChatGPT/GPT-4 /  |c Oswald Campesato. 
264 1 |a Dulles, VA :   |b Mercury Learning and Information,   |c [2024] 
264 4 |c ©2024 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 0 |a MLI Generative AI Series 
505 0 0 |t Frontmatter --   |t Contents --   |t Preface --   |t Chapter 1: Introduction to Pandas --   |t Chapter 2: Introduction to Machine Learning --   |t Chapter 3: Classifiers in Machine Learning --   |t Chapter 4: ChatGPT and GPT-4 --   |t Chapter 5: Linear Regression with GPT-4 --   |t Chapter 6: Machine Learning Classifiers with GPT-4 --   |t Chapter 7: Machine Learning Clustering with GPT-4 --   |t Chapter 8: ChatGPT and Data Visualization --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a 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. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 03. Jul 2024) 
650 7 |a COMPUTERS / Programming / Open Source.  |2 bisacsh 
653 |a Python, Machine Learning, ChatGPT-4, Pandas, Classifiers, Linear Regression, Data Visualization, AI, Data Science, Programming. 
776 0 |c EPUB  |z 9781501520174 
776 0 |c print  |z 9781501522956 
856 4 0 |u https://doi.org/10.1515/9781501520112 
856 4 0 |u https://www.degruyter.com/isbn/9781501520112 
856 4 2 |3 Cover  |u https://www.degruyter.com/document/cover/isbn/9781501520112/original 
912 |a EBA_CL_CHCOMSGSEN 
912 |a EBA_DGALL 
912 |a EBA_EBKALL 
912 |a EBA_ECL_CHCOMSGSEN 
912 |a EBA_EEBKALL 
912 |a EBA_ESTMALL 
912 |a EBA_STMALL 
912 |a GBV-deGruyter-alles