Python 3 and Machine Learning Using ChatGPT GPT-4

Enregistré dans:
Détails bibliographiques
Auteur principal: Campesato, Oswald. (Auteur)
Support: E-Book
Langue: Anglais
Publié: Boston, MA : Mercury Learning and Information.
Autres localisations: Voir dans le Sudoc
Résumé: 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 datavisualization. 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. FEATURES:Includes practical tutorials designed to provide hands-on experience, reinforcing learning through practiceProvides coverage of the latest Python tools using state-of-the-art libraries essential for modern data scientistsCompanion files with source code, datasets, and figures are available for downloading
Accès en ligne: Accès à l'E-Book
Lien: Autre support: Python 3 and Machine Learning Using ChatGPT / Oswald Campesato
LEADER 02959nmm a2200457 i 4500
001 ebook-279346956
005 20240711105954.0
007 cu|uuu---uuuuu
008 240711s2024||||us ||||g|||| ||||||eng d
020 |a 9781501520112 
035 |a FRCYB88955138 
035 |a FRCYB26088955138 
035 |a FRCYB19188955138 
035 |a FRCYB24888955138 
035 |a FRCYB29388955138 
035 |a FRCYB084688955138 
035 |a FRCYB087588955138 
035 |a FRCYB56788955138 
035 |a FRCYB63288955138 
035 |a FRCYB097088955138 
035 |a FRCYB101388955138 
035 |a FRCYB087088955138 
040 |a ABES  |b fre  |e AFNOR 
041 0 |a eng  |2 639-2 
100 1 |a Campesato, Oswald.  |4 aut.  |e Auteur 
245 1 0 |a Python 3 and Machine Learning Using ChatGPT GPT-4   |c Oswald Campesato. 
264 1 |a Boston, MA :  |b Mercury Learning and Information. 
264 2 |a Paris :  |b Cyberlibris,  |c 2024. 
336 |b txt  |2 rdacontent 
337 |b c  |2 rdamedia 
337 |b b  |2 isbdmedia 
338 |b ceb  |2 RDAfrCarrier 
500 |a Couverture (https://static2.cyberlibris.com/books_upload/136pix/9781501520112.jpg). 
506 |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement  |e Cyberlibris 
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 datavisualization. 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. FEATURES:Includes practical tutorials designed to provide hands-on experience, reinforcing learning through practiceProvides coverage of the latest Python tools using state-of-the-art libraries essential for modern data scientistsCompanion files with source code, datasets, and figures are available for downloading 
776 0 |t Python 3 and Machine Learning Using ChatGPT / Oswald Campesato  |d Boston, MA : Mercury Learning and Information, 2024  |h 1 vol. (286 p.)  |z 978-15-0152-011-2 
856 |q HTML  |u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88955138  |w Données éditeur  |z Accès à l'E-Book 
886 2 |2 unimarc  |a 181  |a i#  |b xxxe## 
993 |a E-Book  
994 |a BNUM 
995 |a 279346956