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Machine Learning Algorithms Reference by Bonaccorso Giuseppe (9 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.36.
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Machine Learning Algorithms: A reference guide to popular algorithms for data science and machine learning
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact.
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US$ 53.68
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Condition: New.
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Machine Learning Algorithms: A reference guide to popular algorithms for data science and machine learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 63.06
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Add to basketPaperback. Condition: New. New. book.
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Machine Learning Algorithms A reference guide to popular algorithms for data science and machine learning
Published by Packt Publishing Limited, 2017
ISBN 10: 1785889621 ISBN 13: 9781785889622
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Machine Learning Algorithms A reference guide to popular algorithms for data science and machine learning
Published by Packt Publishing Limited, 2017
ISBN 10: 1785889621 ISBN 13: 9781785889622
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 63.91
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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US$ 89.77
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
