{"id":40835,"date":"2024-09-18T14:22:45","date_gmt":"2024-09-18T14:22:45","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-%d8%a8%d8%a7-%d8%a2%d8%b1%d8%9b-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%aa%da%a9%d9%86%db%8c%da%a9-%d9%87\/"},"modified":"2024-09-18T10:54:40","modified_gmt":"2024-09-18T10:54:40","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-%d8%a8%d8%a7-%d8%a2%d8%b1%d8%9b-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%aa%da%a9%d9%86%db%8c%da%a9-%d9%87","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-%d8%a8%d8%a7-%d8%a2%d8%b1%d8%9b-%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%aa%da%a9%d9%86%db%8c%da%a9-%d9%87\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627 \u0622\u0631\u061b \u0622\u0645\u0648\u0632\u0634 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0648 \u0628\u0647\u0628\u0648\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u0627\u0632 \u0622\u0645\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u062a\u0627 \u062a\u0646\u0638\u06cc\u0645 \u0645\u062f\u0644\u060c \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc\u060c \u0648 \u06a9\u0627\u0631 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data, 4th Edition\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/09\/9781801071321.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data, 4th Edition\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data, 4th Edition<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2023\u00a0\u00a0|\u00a0\u00a0763 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 44 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Brett Lantz<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Packt Publishing<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1801071322<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781801071321<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">\n<p>Learn how to solve real-world data problems using machine learning and R<\/p>\n<p>Purchase of the print or Kindle book includes a free eBook in PDF format.<br \/>\nKey Features<\/p>\n<p>The 10th Anniversary Edition of the bestselling R machine learning book, updated with 50% new content for R 4.0.0 and beyond<br \/>\nHarness the power of R to build flexible, effective, and transparent machine learning models<br \/>\nLearn quickly with this clear, hands-on guide by machine learning expert Brett Lantz<\/p>\n<p>Book Description<\/p>\n<p>Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.<\/p>\n<p>Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data.<\/p>\n<p>You&#8217;ll also find this classic R data science book updated to R 4.0.0 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Whether you&#8217;re looking to take your first steps with R for machine learning or making sure your skills and knowledge are up to date, this is an unmissable read that will help you find powerful new insights in your data.<br \/>\nWhat you will learn<\/p>\n<p>Learn the end-to-end process of machine learning from raw data to implementation<br \/>\nClassify important outcomes using nearest neighbor and Bayesian methods<br \/>\nPredict future events using decision trees, rules, and support vector machines<br \/>\nForecast numeric data and estimate financial values using regression methods<br \/>\nModel complex processes with artificial neural networks<br \/>\nPrepare, transform, and clean data using the tidyverse<br \/>\nEvaluate your models and improve their performance<br \/>\nConnect R to SQL databases and emerging big data technologies such as Spark, Hadoop, H2O, and TensorFlow<\/p>\n<p>Who this book is for<\/p>\n<p>This book is designed to help data scientists, actuaries, data analysts, financial analysts, social scientists, business and machine learning students, and any other practitioners who want a clear, accessible guide to machine learning with R. No R experience is required, although prior exposure to statistics and programming is helpful.<br \/>\nTable of Contents<\/p>\n<p>Introducing Machine Learning<br \/>\nManaging and Understanding Data<br \/>\nLazy Learning \u2013 Classification Using Nearest Neighbors<br \/>\nProbabilistic Learning \u2013 Classification Using Naive Bayes<br \/>\nDivide and Conquer \u2013 Classification Using Decision Trees and Rules<br \/>\nForecasting Numeric Data \u2013 Regression Methods<br \/>\nBlack-Box Methods \u2013 Neural Networks and Support Vector Machines<br \/>\nFinding Patterns \u2013 Market Basket Analysis Using Association Rules<br \/>\nFinding Groups of Data \u2013 Clustering with k-means<br \/>\nEvaluating Model Performance<br \/>\nBeing Successful with Machine Learning<br \/>\nAdvanced Data Preparation<br \/>\nChallenging Data \u2013 Too Much, Too Little, Too Complex<br \/>\nBuilding Better Learners<br \/>\nMaking Use of Big Data<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644\u0627\u062a \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0648 r \u062d\u0644 \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u062e\u0631\u06cc\u062f \u06a9\u062a\u0627\u0628 \u0686\u0627\u067e \u06cc\u0627 Kindle \u0634\u0627\u0645\u0644 \u06cc\u06a9 \u06a9\u062a\u0627\u0628 \u0627\u0644\u06a9\u062a\u0631\u0648\u0646\u06cc\u06a9\u06cc \u0631\u0627\u06cc\u06af\u0627\u0646 \u0628\u0627 \u0641\u0631\u0645\u062a PDF \u0627\u0633\u062a.<br 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\/>\n\u0645\u062f\u06cc\u0631\u06cc\u062a \u0648 \u062f\u0631\u06a9 \u062f\u0627\u062f\u0647 \u0647\u0627<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0646\u0628\u0644 &#8211; \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0632\u062f\u06cc\u06a9\u062a\u0631\u06cc\u0646 \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u062d\u062a\u0645\u0627\u0644\u06cc &#8211; \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062e\u0644\u06cc\u062c \u0647\u0627\u06cc \u0633\u0627\u062f\u0647 \u0644\u0648\u062d<br \/>\n\u062a\u0642\u0633\u06cc\u0645 \u0648 \u062a\u0633\u062e\u06cc\u0631 &#8211; \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0631\u062e\u062a\u0627\u0646 \u0648 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\u06af\u0631\u0648\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627-\u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627 k-means<br \/>\n\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0645\u062f\u0644<br \/>\n\u0645\u0648\u0641\u0642\u06cc\u062a \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<br \/>\n\u062a\u0647\u06cc\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<br \/>\n\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0686\u0627\u0644\u0634 \u0628\u0631\u0627\u0646\u06af\u06cc\u0632 &#8211; \u062e\u06cc\u0644\u06cc \u0632\u06cc\u0627\u062f \u060c \u062e\u06cc\u0644\u06cc \u06a9\u0645 \u060c \u062e\u06cc\u0644\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647<br \/>\n\u0633\u0627\u062e\u062a\u0646 \u0632\u0628\u0627\u0646 \u0622\u0645\u0648\u0632\u0627\u0646 \u0628\u0647\u062a\u0631<br \/>\n\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0632\u0631\u06af<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Machine Learning with R: Learn techniques for building and improving machine learning models, from data [&hellip;]<\/p>\n","protected":false},"featured_media":40836,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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