Isbn: 9781787287471 - mastering machine learning with r: advanced prediction, algorithms, and learning methods with r 3.x, 2nd edition (19 resultados)

Condición: New.

Paperback or Softback. Condición: New. Mastering Machine Learning with R - Second Edition: Advanced prediction, algorithms, and learning methods with R 3.x. Book.

Condición: New.

Condición: As New. Unread book in perfect condition.

Digital. 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.…

Condición: New. pp. 420 2nd Edition.

Condición: New. In English.

Paperback. Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: Very Good.

Digital. 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.…

PAP. 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.

Condición: New. Print on Demand pp. 420.

Condición: New. PRINT ON DEMAND pp. 420.

Paperback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master machine learning techniques with R to deliver insights in complex projectsKey FeaturesUnderstand and apply machine learning methods using an extensive set of R packages such as XGBOOSTUnderstand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised LearningImplement advanced concepts in machine learning with this example-rich guideBook DescriptionThis 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.What you will learnGain deep insights into the application of machine learning tools in the industryManipulate data in R efficiently to prepare it for analysisMaster the skill of recognizing techniques for effective visualization of dataUnderstand why and how to create test and training data sets for analysisMaster fundamental learning methods such as linear and logistic regressionComprehend advanced learning methods such as support vector machinesLearn how to use R in a cloud service such as AmazonWho this book is for:¿This 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.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber 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.…

Taschenbuch. Condición: Neu. Mastering Machine Learning with R - Second Edition | Advanced prediction, algorithms, and learning methods with R 3.x | Cory Lesmeister | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Packt Publishing | EAN 9781787287471 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …