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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Librería: Coas Books, Las Cruces, NM, Estados Unidos de America
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 51,02
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Añadir al carritoCondición: New. Mastering Machine Learning Algorithms - Second Edition (Paperback or Softback).
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 51,27
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 48,11
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Idioma: Inglés
Publicado por Packt Publishing 2020-01-31, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Librería: Chiron Media, Wallingford, Reino Unido
EUR 46,26
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 48,09
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Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 66,92
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Añadir al carritoPaperback. Condición: New. Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problemsKey FeaturesUpdated to include new algorithms and techniquesCode updated to Python 3.8 and TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applicationsBook 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 learnUnderstand the characteristics of a machine learning algorithmImplement algorithms from supervised, semi-supervised, unsupervised, and RL domainsLearn how regression works in time-series analysis and risk predictionCreate, 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 GANsWho 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 54,20
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Librería: LiLi - La Liberté des Livres, CANEJAN, Francia
EUR 26,33
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Añadir al carritoCondición: very good. Le livre peut montrer des signes d'usure dus a une utilisation constante, etre marque, porter des marques d'identification ou presenter plusieurs dommages esthetiques mineurs. vendeur professionnel; envoi soigne en 24/48h.
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.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Librería: Majestic Books, Hounslow, Reino Unido
EUR 102,62
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Añadir al carritoCondición: New. pp. 798.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2020
ISBN 10: 1838820299 ISBN 13: 9781838820299
Librería: Rarewaves.com UK, London, Reino Unido
EUR 61,64
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Añadir al carritoPaperback. Condición: New. Updated and revised second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problemsKey FeaturesUpdated to include new algorithms and techniquesCode updated to Python 3.8 and TensorFlow 2.x New coverage of regression analysis, time series analysis, deep learning models, and cutting-edge applicationsBook 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 learnUnderstand the characteristics of a machine learning algorithmImplement algorithms from supervised, semi-supervised, unsupervised, and RL domainsLearn how regression works in time-series analysis and risk predictionCreate, 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 GANsWho 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.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 58,50
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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 UK, Fairford, GLOS, Reino Unido
EUR 49,26
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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: preigu, Osnabrück, Alemania
EUR 64,00
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Añadir al carritoTaschenbuch. Condición: Neu. Mastering Machine Learning Algorithms - Second Edition | Giuseppe Bonaccorso | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Packt Publishing | EAN 9781838820299 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 70,60
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.