Paj la ap chaje
N'ap prepare eksperyans lan pou ou
Python 3 and Machine Learning Using ChatGPT / GPT-4
Python 3 and Machine Learning Using ChatGPT / GPT-4, imaj 1
Python 3 and Machine Learning Using ChatGPT / GPT-4 Imaj 1 sou 1
PDF 21.8 MB Lisans pèsonèl
268 paj

Machine Learning & AI

Telechajman dijital

Python 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

Python 3 and Machine Learning Using ChatGPT / GPT-4

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
Wè panye a & Peman
Acha an sekiriteAksè apre yo konfime peman an · Jiska 5 telechajman

Anvan ou achte

Verifye pwodwi sa a mache ak fason ou travay.

Pi bon pouPython learners, aspiring data scientists, machine learning students, developers, analysts, and professionals who want practical experience using ChatGPT and GPT-4 in data science workflows.
Nivo konpetansEntèmedyè
KonpatibiliteTrue PDF for compatible PDF reading apps and devices. Companion materials use Python 3 and modern data-science libraries.
Sa ou bezwenA PDF-compatible reading app or device. Basic Python knowledge is recommended. Python 3 and the relevant libraries are needed to run the companion code; access to ChatGPT or GPT-4 is needed for AI-assisted exercises.
Longè liv la268 paj
Vèsyon ak dat mizajouVèsyon 1st Edition (2024)

Kondisyon ki klè

Konnen egzakteman sa acha ou gen ladan.

Lisans

Itilizasyon pèsonèl pou yon sèl achtè. Ou pa ka revann, redistribye oswa pataje fichye sous yo.

Li tout lisans lan →

Ranbousman

Acha dijital yo nòmalman final apre aksè a disponib. N ap korije, ranplase oswa ranbouse yon fichye ki gen defo oswa ki pa koresponn ak deskripsyon an lè sa nesesè.

Li kondisyon ranbousman yo →

Sipò

Sipò a kouvri aksè nan fichye yo ak enstalasyon ki dokimante. Travay pèsonalize ak fòmasyon sou lojisyèl pa enkli sof si sa ekri anlè a.

Mizajou gratis

Pa gen pwomès pou mizajou alavni. Ou resevwa vèsyon ki dekri sou paj sa a.

Kesyon moun poze souvan

Kesyon moun poze souvan

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.

Anndan pwodwi a

Tout sa ou bezwen.
Pa gen anyen anplis.

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.

Ou ka renmen sa tou

Kontinye kreye.

Vi prive'w