Gavin Hackeling - Mastering Machine Learning with scikit-learn, Second Edition [2017, PDF, ENG]

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Post 03-Aug-2018 13:20

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Mastering Machine Learning with scikit-learn, Second Edition
Год издания: 2017
Автор: Gavin Hackeling
Издательство: Packt Publishing Ltd.
ISBN: 9781788299879
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 254
Исходники: GitHub
Описание:
Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model.
This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn’s API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model’s performance.
By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach.

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