Introduction to Machine Learning With r download free [PDF and Ebook] by Burger Scott

Introduction to Machine Learning With r download free [PDF and Ebook] by Burger Scott year 2018
  • Book name: Introduction to Machine Learning With r
  • Author: Burger Scott
  • Release date: 2018/1/4
  • Publisher: O'REILLY MEDIA, INC, USA
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781491976449
  • Rating: 9.11 of 10
  • Votes: 534
  • Review by: Vickie Brogan
  • Review rating: 9.12 of 10
  • Review Date: 2018/9/30
  • Total pages: 200
  • Includes a PDF summary of 16 pages
  • Description or summary of the book: Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package
  • Estimated reading time (average reader): 9H56M40S
  • Other categories, genre or collection: Programming & Scripting Languages: General, Computer Science, Algorithms & Data Structures, Data Capture & Analysis, Information Architecture, Data Mining, Database Design & Theory
  • Available formats: EPUB, BMP, TCR, PML, WORD, DOC, TXT, PDF. Compressed in TZO, EML, RAR, ZIP
  • Download servers: LaciCloud, Microsoft OneDrive, FileServe, Dropbox, ADrive, Torrent, Mediafire, Hotfile
  • Format: Paperback
  • Approximate value: 38.79 USD
  • Dimensions: 181x232x12mm
  • Weight: 414g
  • Printed by: Not Available
  • Published in: Sebastopol, United States

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