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...
Saved in:
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!
|
id |
9781501520112 |
---|---|
ctrlnum |
(DE-B1597)685363 |
collection |
bib_alma |
record_format |
marc |
spelling |
Campesato, Oswald, author. aut http://id.loc.gov/vocabulary/relators/aut Python 3 and Machine Learning Using ChatGPT/GPT-4 / Oswald Campesato. Dulles, VA : Mercury Learning and Information, [2024] ©2024 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda MLI Generative AI Series Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Pandas -- Chapter 2: Introduction to Machine Learning -- Chapter 3: Classifiers in Machine Learning -- Chapter 4: ChatGPT and GPT-4 -- Chapter 5: Linear Regression with GPT-4 -- Chapter 6: Machine Learning Classifiers with GPT-4 -- Chapter 7: Machine Learning Clustering with GPT-4 -- Chapter 8: ChatGPT and Data Visualization -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 03. Jul 2024) COMPUTERS / Programming / Open Source. bisacsh Python, Machine Learning, ChatGPT-4, Pandas, Classifiers, Linear Regression, Data Visualization, AI, Data Science, Programming. EPUB 9781501520174 print 9781501522956 https://doi.org/10.1515/9781501520112 https://www.degruyter.com/isbn/9781501520112 Cover https://www.degruyter.com/document/cover/isbn/9781501520112/original |
language |
English |
format |
eBook |
author |
Campesato, Oswald, Campesato, Oswald, |
spellingShingle |
Campesato, Oswald, Campesato, Oswald, Python 3 and Machine Learning Using ChatGPT/GPT-4 / MLI Generative AI Series Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Pandas -- Chapter 2: Introduction to Machine Learning -- Chapter 3: Classifiers in Machine Learning -- Chapter 4: ChatGPT and GPT-4 -- Chapter 5: Linear Regression with GPT-4 -- Chapter 6: Machine Learning Classifiers with GPT-4 -- Chapter 7: Machine Learning Clustering with GPT-4 -- Chapter 8: ChatGPT and Data Visualization -- Index |
author_facet |
Campesato, Oswald, Campesato, Oswald, |
author_variant |
o c oc o c oc |
author_role |
VerfasserIn VerfasserIn |
author_sort |
Campesato, Oswald, |
title |
Python 3 and Machine Learning Using ChatGPT/GPT-4 / |
title_full |
Python 3 and Machine Learning Using ChatGPT/GPT-4 / Oswald Campesato. |
title_fullStr |
Python 3 and Machine Learning Using ChatGPT/GPT-4 / Oswald Campesato. |
title_full_unstemmed |
Python 3 and Machine Learning Using ChatGPT/GPT-4 / Oswald Campesato. |
title_auth |
Python 3 and Machine Learning Using ChatGPT/GPT-4 / |
title_alt |
Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Pandas -- Chapter 2: Introduction to Machine Learning -- Chapter 3: Classifiers in Machine Learning -- Chapter 4: ChatGPT and GPT-4 -- Chapter 5: Linear Regression with GPT-4 -- Chapter 6: Machine Learning Classifiers with GPT-4 -- Chapter 7: Machine Learning Clustering with GPT-4 -- Chapter 8: ChatGPT and Data Visualization -- Index |
title_new |
Python 3 and Machine Learning Using ChatGPT/GPT-4 / |
title_sort |
python 3 and machine learning using chatgpt/gpt-4 / |
series |
MLI Generative AI Series |
series2 |
MLI Generative AI Series |
publisher |
Mercury Learning and Information, |
publishDate |
2024 |
physical |
1 online resource Issued also in print. |
contents |
Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Pandas -- Chapter 2: Introduction to Machine Learning -- Chapter 3: Classifiers in Machine Learning -- Chapter 4: ChatGPT and GPT-4 -- Chapter 5: Linear Regression with GPT-4 -- Chapter 6: Machine Learning Classifiers with GPT-4 -- Chapter 7: Machine Learning Clustering with GPT-4 -- Chapter 8: ChatGPT and Data Visualization -- Index |
isbn |
9781501520112 9781501520174 9781501522956 |
url |
https://doi.org/10.1515/9781501520112 https://www.degruyter.com/isbn/9781501520112 https://www.degruyter.com/document/cover/isbn/9781501520112/original |
illustrated |
Not Illustrated |
doi_str_mv |
10.1515/9781501520112 |
work_keys_str_mv |
AT campesatooswald python3andmachinelearningusingchatgptgpt4 |
status_str |
n |
ids_txt_mv |
(DE-B1597)685363 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Python 3 and Machine Learning Using ChatGPT/GPT-4 / |
_version_ |
1806145991294844928 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03465nam a2200565 4500 </leader><controlfield tag="001">9781501520112</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20240703114541.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">240703t20242024xxu fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781501520112</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781501520112</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)685363</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">US</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM051390</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Campesato, Oswald, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python 3 and Machine Learning Using ChatGPT/GPT-4 /</subfield><subfield code="c">Oswald Campesato.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Dulles, VA : </subfield><subfield code="b">Mercury Learning and Information, </subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">MLI Generative AI Series</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Chapter 1: Introduction to Pandas -- </subfield><subfield code="t">Chapter 2: Introduction to Machine Learning -- </subfield><subfield code="t">Chapter 3: Classifiers in Machine Learning -- </subfield><subfield code="t">Chapter 4: ChatGPT and GPT-4 -- </subfield><subfield code="t">Chapter 5: Linear Regression with GPT-4 -- </subfield><subfield code="t">Chapter 6: Machine Learning Classifiers with GPT-4 -- </subfield><subfield code="t">Chapter 7: Machine Learning Clustering with GPT-4 -- </subfield><subfield code="t">Chapter 8: ChatGPT and Data Visualization -- </subfield><subfield code="t">Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 03. Jul 2024)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming / Open Source.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Python, Machine Learning, ChatGPT-4, Pandas, Classifiers, Linear Regression, Data Visualization, AI, Data Science, Programming.</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">EPUB</subfield><subfield code="z">9781501520174</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9781501522956</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781501520112</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9781501520112</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9781501520112/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_DGALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ECL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield></record></collection> |