Machine Learning with Python: A Step by Step Guide to Learn Machine Learning with Python for Beginners

Автор: literator от 19-10-2019, 17:48, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Название: Machine Learning with Python: A Step by Step Guide to Learn Machine Learning with Python for Beginners
Автор: Brian Walker
Издательство: Independently published
Год: 2019
Страниц: 165
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

Do you want to learn about Machine Learning (ML)? Are you feeling left out in the rat race where everyone is brushing up on their knowledge in the fields of AI and machine learning? Are you on a time crunch and don’t have enough time or resources to take a formal course on machine learning? If the answer to any of the above questions is yes, then you have chosen the right book.

Over the course of this book, you will gather information about what Machine Learning is, and the different techniques used in training a machine. You will also gather information about how you can build a machine learning model in Python. The book will provide information on the different algorithms that are used in machine learning, and will also help you understand how you can build a machine learning model using those algorithms. An important step during the process of building a machine learning model is to clean the data. This book will also help you understand how you can do this using the different libraries available in Python.

This book will teach you:

What machine learning is
The advantages and disadvantages of machine learning
The algorithms in machine learning
The different concepts of machine learning
The types of machine learning
Why use machine learning in Python
Data composition on machine learning
Machine learning applications
Cleaning data using Python
Manipulating data in Python using machine learning
Implementing Machine learning
And much more...

Скачать Machine Learning with Python: A Step by Step Guide to Learn Machine Learning with Python for Beginners




ОТСУТСТВУЕТ ССЫЛКА/ НЕ РАБОЧАЯ ССЫЛКА ЕСТЬ РЕШЕНИЕ, ПИШИМ СЮДА!


Нашел ошибку? Есть жалоба? Жми!
Пожаловаться администрации
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
Мы рекомендуем Вам зарегистрироваться либо войти на сайт под своим именем.
Информация
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.