Name: Machine Learning Algorithms: A Reference Guide to Popular Algorithms for Data Science and Machine Learning
Price: 2351.00 TWD
Availability: InStock
Author: Bonaccorso, Giuseppe
ISBN: 9781785889622

portada Machine Learning Algorithms: A Reference Guide to Popular Algorithms for Data Science and Machine Learning

Machine Learning Algorithms: A Reference Guide to Popular Algorithms for Data Science and Machine Learning

Type

Physical Book

Author

Giuseppe Bonaccorso

Publisher

Packt Publishing

Year

2017

Language

English

Pages

360

Format

Paperback

Dimensions

23.5 x 19.1 x 1.9 cm

Weight

0.62 kg.

ISBN13

9781785889622

Synopsis "Machine Learning Algorithms: A Reference Guide to Popular Algorithms for Data Science and Machine Learning "

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features: - Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.- Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation.- Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide.Book Description: In this book, you will learn all the important machine learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. The algorithms that are covered in this book are linear regression, logistic regression, SVM, naïve Bayes, k-means, random forest, TensorFlow and feature engineering.In this book, you will how to use these algorithms to resolve your problems, and how they work. This book will also introduce you to natural language processing and recommendation systems, which help you to run multiple algorithms simultaneously.On completion of the book, you will know how to pick the right machine learning algorithm for clustering, classification, or regression for your problemWhat You Will Learn: - Acquaint yourself with the important elements of machine learning- Understand the feature selection and feature engineering processes- Assess performance and error trade-offs for linear regression- Build a data model and understand how it- Learn to tune the parameters of SVMs- Implement clusters in a dataset- Explore the concept of Natural Processing Language and Recommendation Systems- Create a machine learning architecture from scratchWho this book is for: This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here.

Customers reviews

Have you read this book? Login to add your review.

More customer reviews

0% (0)
0% (0)
0% (0)
0% (0)
0% (0)

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews

Machine Learning Algorithms: A Reference Guide to Popular Algorithms for Data Science and Machine Learning - Bonaccorso, Giuseppe

Synopsis "Machine Learning Algorithms: A Reference Guide to Popular Algorithms for Data Science and Machine Learning "

Customers reviews

Frequently Asked Questions about the Book

Is the book original?

In what language is the book written?

What is the format of this book?

Questions and Answers about the Book

Opinions about Bookdelivery