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Librería: medimops, Berlin, Alemania
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Librería: Studibuch, Stuttgart, Alemania
EUR 32,90
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Añadir al carritopaperback. Condición: Sehr gut. 576 Seiten; 9781788621113.2 Gewicht in Gramm: 2.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 47,13
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 48,90
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 47,58
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Añadir al carritoCondición: New. Mastering Machine Learning Algorithms - Second Edition (Paperback or Softback) 2.97.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 43,63
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Publicado por Packt Publishing 2018-05, 2018
ISBN 10: 1788621115 ISBN 13: 9781788621113
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 45,72
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Publicado por Packt Publishing 2020-01-31, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 45,72
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Añadir al carritoPaperback. Condición: New.
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 38,11
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Añadir al carritoCondición: New. SUPER FAST SHIPPING.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 53,32
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Packt Publishing Limited, United Kingdom, Birmingham, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Idioma: Inglés
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 65,09
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Añadir al carritoPaperback. Condición: Very Good. Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applications Book DescriptionMastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains. You will use all the modern libraries from the Python ecosystem including NumPy and Keras to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks. By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios. What you will learn Understand the characteristics of a machine learning algorithm Implement algorithms from supervised, semi-supervised, unsupervised, and RL domains Learn how regression works in time-series analysis and risk prediction Create, model, and train complex probabilistic models Cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work train, optimize, and validate them Work with autoencoders, Hebbian networks, and GANs Who this book is forThis book is for data science professionals who want to delve into complex ML algorithms to understand how various machine learning models can be built. Knowledge of Python programming is required. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
EUR 55,44
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Añadir al carritoCondición: 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.
EUR 55,44
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Añadir al carritoCondición: 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.
Librería: Coas Books, Las Cruces, NM, Estados Unidos de America
EUR 30,55
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Añadir al carritoCondición: Good. Cover is worn. Item has remainder mark. Paperback.
Librería: Bay State Book Company, North Smithfield, RI, Estados Unidos de America
EUR 31,83
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Añadir al carritoCondición: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 42,71
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Añadir al carritoCondición: New.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 82,57
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Añadir al carritoPaperback. Condición: New. New. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 83,75
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Añadir al carritoPaperback. Condición: New. New. book.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 49,60
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 49,60
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 57,51
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 58,70
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1788621115 ISBN 13: 9781788621113
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 55,86
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1101.
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1788621115 ISBN 13: 9781788621113
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 59,16
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Añadir al carritoCondición: New. Print on Demand pp. 576.
Publicado por Packt Publishing, Limited, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 61,66
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Añadir al carritoCondición: New. Print on Demand pp. 798.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,83
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Añadir al carritoTaschenbuch. Condición: 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.