BOOKS - Python 3 and Machine Learning Using ChatGPT / GPT-4
Python 3 and Machine Learning Using ChatGPT / GPT-4 - O. Campesato 2024 PDF | EPUB Mercury Learning and Information BOOKS
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Python 3 and Machine Learning Using ChatGPT / GPT-4
Author: O. Campesato
Year: 2024
Pages: 286
Format: PDF | EPUB
File size: 21.8 MB, 30.3 MB
Language: ENG



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Book Description: Python 3 and Machine Learning Using ChatGPT GPT4 is a comprehensive guide to using Python 3 and ChatGPT GPT4 for machine learning. The book covers the basics of machine learning and provides a detailed overview of the Python 3 programming language, including its syntax, data types, control structures, functions, and modules. It also explores the use of ChatGPT GPT4 in machine learning, including its capabilities, applications, and limitations. The book is written in an easy-to-understand style, making it accessible to readers who are new to both Python 3 and machine learning. The book begins by introducing the concept of machine learning and its importance in today's world. It then delves into the details of Python 3, explaining how to install and set up the environment, as well as the basic syntax and data types. The book also covers control structures such as loops and conditional statements, functions, and modules. Once the reader has a solid understanding of Python 3, the book moves on to machine learning, covering topics such as supervised and unsupervised learning, regression, classification, clustering, and neural networks.
Python 3 and Machine arning Using ChatGPT GPT4 - всеобъемлющее руководство по использованию Python 3 и ChatGPT GPT4 для машинного обучения. Книга охватывает основы машинного обучения и содержит подробный обзор языка программирования Python 3, включая его синтаксис, типы данных, структуры управления, функции и модули. Также исследуется использование GPT4 ChatGPT в машинном обучении, включая его возможности, приложения и ограничения. Книга написана в простом для понимания стиле, что делает ее доступной для читателей, которые плохо знакомы как с Python 3, так и с машинным обучением. Книга начинается с введения понятия машинного обучения и его важности в современном мире. Затем он углубляется в детали Python 3, объясняя, как установить и настроить среду, а также базовый синтаксис и типы данных. Книга также охватывает управляющие структуры, такие как циклы и условные операторы, функции и модули. Как только читатель получит четкое представление о Python 3, книга перейдет к машинному обучению, охватывая такие темы, как контролируемое и неконтролируемое обучение, регрессия, классификация, кластеризация и нейронные сети.
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