{"id":7189,"date":"2018-09-22T11:16:59","date_gmt":"2018-09-22T09:16:59","guid":{"rendered":"https:\/\/www.datanovia.com\/en\/?post_type=product&p=7189"},"modified":"2023-12-31T08:29:57","modified_gmt":"2023-12-31T07:29:57","slug":"machine-learning-essentials-practical-guide-in-r","status":"publish","type":"product","link":"https:\/\/www.datanovia.com\/en\/product\/machine-learning-essentials-practical-guide-in-r\/","title":{"rendered":"Machine Learning Essentials: Practical Guide in R"},"content":{"rendered":"

Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques.<\/p>\n

This book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring real word data sets, as well as, for building predictive models.<\/p>\n

The main parts of the book include:<\/p>\n

A)\u00a0Unsupervised learning<\/strong>\u00a0methods, to explore and discover knowledge from a large multivariate data set using clustering and principal component methods. You will learn hierarchical clustering, k-means, principal component analysis and correspondence analysis methods.<\/p>\n

B)\u00a0Regression analysis<\/strong>, to predict a quantitative outcome value using linear regression and non-linear regression strategies.<\/p>\n

C)\u00a0Classification techniques<\/strong>, to predict a qualitative outcome value using logistic regression, discriminant analysis, naive bayes classifier and support vector machines.<\/p>\n

D)\u00a0Advanced machine learning methods<\/strong>, to build robust regression and classification models using k-nearest neighbors methods, decision tree models, ensemble methods (bagging, random forest and boosting).<\/p>\n

E)\u00a0Model selection methods<\/strong>, to select automatically the best combination of predictor variables for building an optimal predictive model. These include, best subsets selection methods, stepwise regression and penalized regression (ridge, lasso and elastic net regression models). We also present principal component-based regression methods, which are useful when the data contain multiple correlated predictor variables.<\/p>\n

F)\u00a0Model validation and evaluation techniques<\/strong>\u00a0for measuring the performance of a predictive model.<\/p>\n

G)\u00a0Model diagnostics<\/strong>\u00a0for detecting and fixing a potential problems in a predictive model.<\/p>\n

 <\/p>\n

The book presents the basic principles of these tasks and provide many examples in R. This book offers solid guidance in data mining for students and researchers.<\/p>\n

Key features<\/strong>:<\/p>\n

- Covers machine learning algorithm and implementation<\/p>\n

- Key mathematical concepts are presented<\/p>\n

- Short, self-contained chapters with practical examples.<\/p>\n","protected":false},"excerpt":{"rendered":"

Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques. This book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring data sets, as well as, for building predictive models.<\/p>\n

Order a Physical Copy<\/b> on Amazon<\/a>:
\n\"Amazon\"<\/a><\/p>\n

Or, Buy and Download Now a PDF Copy<\/b> by clicking on the “ADD TO CART”<\/b> button down below. You will receive a link to download a PDF copy<\/b> (click to see the book preview<\/a>)<\/p>\n<\/div>\n","protected":false},"featured_media":7191,"comment_status":"open","ping_status":"closed","template":"","meta":{"rating_form_position":"","rating_results_position":"","mr_structured_data_type":""},"product_brand":[],"product_cat":[268],"product_tag":[257,265,267,264],"class_list":{"0":"post-7189","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-livre","7":"product_tag-classification-fr","8":"product_tag-machine-learning-fr","9":"product_tag-regression-fr","10":"product_tag-apprentissage-supervise","12":"first","13":"instock","14":"sale","15":"downloadable","16":"virtual","17":"purchasable","18":"product-type-simple"},"yoast_head":"\nMachine Learning Essentials: Practical Guide in R - Datanovia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.datanovia.com\/en\/product\/machine-learning-essentials-practical-guide-in-r\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine Learning Essentials: Practical Guide in R - Datanovia\" \/>\n<meta property=\"og:description\" content=\"Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques. This book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring data sets, as well as, for building predictive models. Order a Physical Copy on Amazon: Or, Buy and Download Now a PDF Copy by clicking on the "ADD TO CART" button down below. You will receive a link to download a PDF copy (click to see the book preview)\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.datanovia.com\/en\/product\/machine-learning-essentials-practical-guide-in-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Datanovia\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-31T07:29:57+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.datanovia.com\/en\/wp-content\/uploads\/2018\/09\/machine-learning-essentials-book-cover.png\" \/>\n\t<meta property=\"og:image:width\" content=\"660\" \/>\n\t<meta property=\"og:image:height\" content=\"825\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.datanovia.com\/en\/product\/machine-learning-essentials-practical-guide-in-r\/\",\"url\":\"https:\/\/www.datanovia.com\/en\/product\/machine-learning-essentials-practical-guide-in-r\/\",\"name\":\"Machine Learning Essentials: Practical Guide in R - 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