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Mastering Machine Learning Algorithms by Bonaccorso Giuseppe (26 results)
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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Mastering Machine Learning Algorithms - Second Edition
Seller: Amazing Books Pittsburgh, Pittsburgh, PA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good. 2nd ed. Previous owner's markings on the blank page preceding the table of contents page. Text itself is unmarked. 3" x 4" crease on front cover. Light residue on top and bottom outside edge of pages.
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Mastering Machine Learning Algorithms : Expert Techniques for Implementing Popular Machine Learning Algorithms, Fine-Tuning Your Models, and Understanding How They Work, 2nd Edition
Published by Packt Publishing, Limited, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Language: English
Condition: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Condition: New. Mastering Machine Learning Algorithms - Second Edition (Paperback or Softback) 2.97.
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Mastering Machine Learning Algorithms - Second Edition
Published by Packt Publishing 2020-01, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Language: English
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Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition
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US$ 64.53
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Add to basketCondition: New. A new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques.
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Mastering Machine Learning Algorithms - Second Edition
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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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Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models
Published by Packt Publishing 2018-05, 2018
ISBN 10: 1788621115 ISBN 13: 9781788621113
Language: English
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Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Mastering Machine Learning Algorithms
Published by Packt Publishing, Limited, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Language: English
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Add to basketCondition: New. This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data science professional, this book will help you design and train better machine learning models to solve a variety of complex problems, and make t.
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Mastering Machine Learning Algorithms Expert techniques to implement popular machine learning algorithms and finetune your models
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
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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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Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Published by Packt Publishing Limited, 2018
ISBN 10: 1788621115 ISBN 13: 9781788621113
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1101.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Publisher's Note: This edition from 2018 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 with coverage of neural network implementation, reinforcement learning, and more using Python 3.8 and TensorFlow 2.x, has now been published.Key FeaturesDiscover high-performing machine learning algorithms and understand how they work in depthOne-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementationMaster concepts related to algorithm tuning, parameter optimization, and moreBook DescriptionMachine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour.Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn v0.19.1. You will also learn how to use Keras and TensorFlow 1.x to train effective neural networks.If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need.What you will learnExplore how a ML model can be trained, optimized, and evaluatedUnderstand how to create and learn static and dynamic probabilistic modelsSuccessfully cluster high-dimensional data and evaluate model accuracyDiscover how artificial neural networks work and how to train, optimize, and validate themWork with Autoencoders and Generative Adversarial NetworksApply label spreading and propagation to large datasetsExplore the most important Reinforcement Learning techniquesWho this book is forThis book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
