The Machine Learning Workshop - Second Edition: Get ready to develop your own high-performance machine learning algorithms with scikit-learn 9781839219061

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Автор: Saleh Hyatt
Название: The Machine Learning Workshop - Second Edition: Get ready to develop your own high-performance machine learning algorithms with scikit-learn
ISBN: 9781839219061
Издательство: Packt Publishing
Классификация:

Языки программирования и описания сценариев: общие сведения

Искусственный интеллект

Нейронные сети и нечеткие системы

ISBN-10: 1839219068
Обложка/Формат: Paperback
Страницы: 286
Вес: 0.49 кг.
Дата издания: 21.07.2020
Язык: English
Издание: 2 revised edition
Размер: 23.50 x 19.10 x 1.52 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Get ready to develop your own high-performance machine learning algorithms with scikit-learn, 2nd edition
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Поставляется из: США
Описание:

Take a comprehensive and step-by-step approach to understanding machine learning

Key Features

Discover how to apply the scikit-learn uniform API in all types of machine learning models
Understand the difference between supervised and unsupervised learning models
Reinforce your understanding of machine learning concepts by working on real-world examples

Book Description

Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, youll master the scikit-learn library and become proficient in developing clever machine learning algorithms.

The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once youve got to grips with the basics, youll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, youll study the dataset of a banks marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. Youll also learn how to compare these models and select the optimal one.

By the end of The Machine Learning Workshop, youll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but youll also have developed the skills required to get started with programming your very own machine learning algorithms.

What you will learn

Understand how to select an algorithm that best fits your dataset and desired outcome
Explore popular real-world algorithms such as K-means, Mean-Shift, and DBSCAN
Discover different approaches to solve machine learning classification problems
Develop neural network structures using the scikit-learn package
Use the NN algorithm to create models for predicting future outcomes
Perform error analysis to improve your models performance

Who this book is for

The Machine Learning Workshop is perfect for machine learning beginners. You will need Python programming experience, though no prior knowledge of scikit-learn and machine learning is necessary.

The Machine Learning Workshop - Second Edition: Get ready to develop your own high-performance machine learning algorithms with scikit-learn, Saleh Hyatt