Machine Learning in Python: Essential Techniques for Predictive Analysis

1 Star2 Stars3 Stars4 Stars5 Stars (5 votes, average: 4,00 out of 5)
Загрузка...

Machine Learning in Python: Essential Techniques for Predictive Analysis Навазние: Machine Learning in Python: Essential Techniques for Predictive Analysis
Автор: Michael Bowles
Издательство:
Год: 2015
Страниц: 360
Язык: Английский
Размер: 14
Формат: pdf
ISBN: 1118961749
PDF: 14 Мб


Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions.

3,370 просмотров всего, 2 просмотров сегодня




Скачать книгу:


UniBytes (PDF)
GigaBase (PDF)
Share4web (PDF)
TurboBit (PDF)


Купить:


Ozon



Добавить комментарий

Войти с помощью: 

Ваш e-mail не будет опубликован. Обязательные поля помечены *