P R.E S E N T S              .

Introduction To Machine Learning With R

DATE: 2018-04-24  SIZE: 3.82 MB    DISKS: 1x 10MB     PAGES: n/a

PUBLISHER: O'Reilly Media                    GENRE:

AUTHOR: Scott V. Burger

FORMAT: EPUB  PROTECTION: DRM  EDITION: n/a

URL: https://is.gd/oweP9o

LANGUAGE: English   ISBN: 9781491976449

: 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 neura :
: networks and tree-based methods. Finally, you'll delve into the frontier o :
: 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 learnin :
: 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                                                              :

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