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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Packt Publishing 1/31/2019, 2019
ISBN 10: 1789618002 ISBN 13: 9781789618006
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 41,67
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Añadir al carritoPaperback or Softback. Condición: New. Mastering Machine Learning with R. Book.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2019
ISBN 10: 1789618002 ISBN 13: 9781789618006
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 49,68
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Añadir al carritoPaperback. Condición: New. Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applicationsKey FeaturesBuild independent machine learning (ML) systems leveraging the best features of R 3.5Understand and apply different machine learning techniques using real-world examplesUse methods such as multi-class classification, regression, and clusteringBook DescriptionGiven the growing popularity of the R-zerocost statistical programming environment, there has never been a better time to start applying ML to your data. This book will teach you advanced techniques in ML ,using? the latest code in R 3.5. You will delve into various complex features of supervised learning, unsupervised learning, and reinforcement learning algorithms to design efficient and powerful ML models. This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You'll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you'll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You'll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you'll get a glimpse into how some of these blackbox models can be diagnosed and understood. By the end of this book, you'll be equipped with the skills to deploy ML techniques in your own projects or at work.What you will learnPrepare data for machine learning methods with easeUnderstand how to write production-ready code and package it for useProduce simple and effective data visualizations for improved insightsMaster advanced methods, such as Boosted Trees and deep neural networksUse natural language processing to extract insights in relation to textImplement tree-based classifiers, including Random Forest and Boosted TreeWho this book is forThis book is for data science professionals, machine learning engineers, or anyone who is looking for the ideal guide to help them implement advanced machine learning algorithms. The book will help you take your skills to the next level and advance further in this field. Working knowledge of machine learning with R is mandatory.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 48,96
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Packt Publishing 4/24/2017, 2017
ISBN 10: 1787287475 ISBN 13: 9781787287471
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 51,29
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Mastering Machine Learning with R - Second Edition: Advanced prediction, algorithms, and learning methods with R 3.x. Book.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 42,89
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 55,57
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Packt Publishing 2019-01-31, 2019
ISBN 10: 1789618002 ISBN 13: 9781789618006
Librería: Chiron Media, Wallingford, Reino Unido
EUR 39,41
Cantidad disponible: 10 disponibles
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EUR 57,51
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Idioma: Inglés
Publicado por Packt Publishing, Limited, 2019
ISBN 10: 1789618002 ISBN 13: 9781789618006
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 59,55
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2023
ISBN 10: 1787287475 ISBN 13: 9781787287471
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 63,14
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Añadir al carritoDigital. Condición: New. Master machine learning techniques with R to deliver insights in complex projectsAbout This Book. Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST. Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning. Implement advanced concepts in machine learning with this example-rich guideWho This Book Is ForThis book is for data science professionals, data analysts, or anyone with a working knowledge of machine learning, with R who now want to take their skills to the next level and become an expert in the field.What You Will Learn. Gain deep insights into the application of machine learning tools in the industry. Manipulate data in R efficiently to prepare it for analysis. Master the skill of recognizing techniques for effective visualization of data. Understand why and how to create test and training data sets for analysis. Master fundamental learning methods such as linear and logistic regression. Comprehend advanced learning methods such as support vector machines. Learn how to use R in a cloud service such as AmazonIn DetailThis book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more.You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you'll understand how these concepts work and what they do.With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets.Style and approachThe book delivers practical and real-world solutions to problems and a variety of tasks such as complex recommendation systems. By the end of this book, you will have gained expertise in performing R machine learning and will be able to build complex machine learning projects using R and its packages.
EUR 46,92
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 51,33
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2019
ISBN 10: 1838641777 ISBN 13: 9781838641771
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 65,87
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Añadir al carritoPaperback. Condición: New. Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languagesKey FeaturesGain expertise in machine learning, deep learning and other techniquesBuild intelligent end-to-end projects for finance, social media, and a variety of domainsImplement multi-class classification, regression, and clusteringBook DescriptionR is one of the most popular languages when it comes to exploring the mathematical side of machine learning and easily performing computational statistics.This Learning Path shows you how to leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. You'll tackle realistic projects such as building powerful machine learning models with ensembles to predict employee attrition. You'll explore different clustering techniques to segment customers using wholesale data and use TensorFlow and Keras-R for performing advanced computations. You'll also be introduced to reinforcement learning along with its various use cases and models. Additionally, it shows you how some of these black-box models can be diagnosed and understood.By the end of this Learning Path, you'll be equipped with the skills you need to deploy machine learning techniques in your own projects.This Learning Path includes content from the following Packt products:R Machine Learning Projects by Dr. Sunil Kumar ChinnamgariMastering Machine Learning with R - Third Edition by Cory LesmeisterWhat you will learnDevelop a joke recommendation engine to recommend jokes that match users' tastesBuild autoencoders for credit card fraud detectionWork with image recognition and convolutional neural networksMake predictions for casino slot machine using reinforcement learningImplement NLP techniques for sentiment analysis and customer segmentationProduce simple and effective data visualizations for improved insightsUse NLP to extract insights for textImplement tree-based classifiers including random forest and boosted treeWho this book is forIf you are a data analyst, data scientist, or machine learning developer this is an ideal Learning Path for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this Learning Path.
Idioma: Inglés
Publicado por Packt Publishing 2019-05, 2019
ISBN 10: 1838641777 ISBN 13: 9781838641771
Librería: Chiron Media, Wallingford, Reino Unido
EUR 48,42
Cantidad disponible: 10 disponibles
Añadir al carritoPF. Condición: New.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2019
ISBN 10: 1789618002 ISBN 13: 9781789618006
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 57,74
Cantidad disponible: 4 disponibles
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 53,73
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Añadir al carritoCondición: New. In English.
Idioma: Inglés
Publicado por Packt Publishing 2015-10-28, 2015
ISBN 10: 178398452X ISBN 13: 9781783984527
Librería: Chiron Media, Wallingford, Reino Unido
EUR 50,58
Cantidad disponible: 10 disponibles
Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Packt Publishing 2017-04, 2017
ISBN 10: 1787287475 ISBN 13: 9781787287471
Librería: Chiron Media, Wallingford, Reino Unido
EUR 50,66
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Añadir al carritoPF. Condición: New.
EUR 51,32
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 53,60
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EUR 56,43
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 59,06
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 48,76
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Añadir al carritoCondición: New. Machine learning is a field of AI where we build systems that learn from data. This book explains complicated concepts with real-world applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints. Finally,.
Librería: Mooney's bookstore, Den Helder, Holanda
EUR 93,32
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Añadir al carritoCondición: Very good.
EUR 60,80
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Añadir al carritoCondición: New. Über den AutorrnrnCory Lesmeister has over fourteen years of quantitative experience and is currently a senior data scientist for the advanced analytics team at Cummins, Inc. in Columbus, Indiana. He has spent 16 years at Eli Lilly and Comp.