{"id":40147,"date":"2024-09-05T15:01:12","date_gmt":"2024-09-05T15:01:12","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%b3%d9%84%d8%b7-%d8%a8%d8%b1-%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%aa%da%a9%d9%86%db%8c%da%a9\/"},"modified":"2024-09-05T11:32:04","modified_gmt":"2024-09-05T11:32:04","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%b3%d9%84%d8%b7-%d8%a8%d8%b1-%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%aa%da%a9%d9%86%db%8c%da%a9","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%b3%d9%84%d8%b7-%d8%a8%d8%b1-%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%aa%da%a9%d9%86%db%8c%da%a9\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u062a\u0633\u0644\u0637 \u0628\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627 \u0622\u0631\u061b \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646 \u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0628\u0627 \u0622\u0631 3.5"},"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 Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5, 3rd Edition\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/09\/9781789618006.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5, 3rd 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>Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R 3.5, 3rd 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: 2019\u00a0\u00a0|\u00a0\u00a0344 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 6 \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>Cory Lesmeister<\/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>1789618002<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781789618006<\/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;\">Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications<br \/>\nKey FeaturesBuild independent machine learning (ML) systems leveraging the best features of R 3.5<br \/>\nUnderstand and apply different machine learning techniques using real-world examples<br \/>\nUse methods such as multi-class classification, regression, and clusteringBook Description<\/p>\n<p>Given the growing popularity of the R-zerocost statistical programming environment, there has never been a better time to start applying ML to your data. This book will teach you advanced techniques in ML ,using? the latest code in R 3.5. You will delve into various complex features of supervised learning, unsupervised learning, and reinforcement learning algorithms to design efficient and powerful ML models.<\/p>\n<p>This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You&#8217;ll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you&#8217;ll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You&#8217;ll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you&#8217;ll get a glimpse into how some of these blackbox models can be diagnosed and understood.<\/p>\n<p>By the end of this book, you&#8217;ll be equipped with the skills to deploy ML techniques in your own projects or at work.<br \/>\nWhat you will learn<\/p>\n<p>Prepare data for machine learning methods with ease<br \/>\nUnderstand how to write production-ready code and package it for use<br \/>\nProduce simple and effective data visualizations for improved insights<br \/>\nMaster advanced methods, such as Boosted Trees and deep neural networks<br \/>\nUse natural language processing to extract insights in relation to text<br \/>\nImplement tree-based classifiers, including Random Forest and Boosted Tree<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for data science professionals, machine learning engineers, or anyone who is looking for the ideal guide to help them implement advanced machine learning algorithms. The book will help you take your skills to the next level and advance further in this field. Working knowledge of machine learning with R is mandatory.<br \/>\nTable of Contents<\/p>\n<p>Preparing and Understanding Data<br \/>\nLinear Regression<br \/>\nLogistic Regression<br \/>\nAdvanced Feature Selection in Linear Models<br \/>\nK-Nearest Neighbors and Support Vector Machines<br \/>\nTree-Based Classification<br \/>\nNeural Networks and Deep Learning<br \/>\nCreating Ensembles and Multiclass Methods<br \/>\nCluster Analysis<br \/>\nPrincipal Component Analysis<br \/>\nAssociation Analysis<br \/>\nTime Series and Causality<br \/>\nText Mining<br \/>\nAppendix A- Creating a Package<\/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\u0627 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062a\u062e\u0635\u0635\u06cc \u0628\u0631\u0627\u06cc \u062d\u0644 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u0686\u0627\u0644\u0634 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0647 \u0631\u0648\u0632 \u0634\u0648\u06cc\u062f \u0648 \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0648 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0628\u06cc\u0646\u0634 \u0628\u06af\u06cc\u0631\u06cc\u062f<br \/>\n\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/p>\n<p>\u0633\u0627\u062e\u062a \u0633\u06cc\u0633\u062a\u0645 \u0647\u0627\u06cc \u0645\u0633\u062a\u0642\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (ML) \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc R 3.5<br \/>\n\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u060c \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u062f\u0631\u06a9 \u0648 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n\u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0637\u0628\u0642\u0647 \u060c \u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0648 \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n<p>\u0628\u0627 \u062a\u0648\u062c\u0647 \u0628\u0647 \u0645\u062d\u0628\u0648\u0628\u06cc\u062a \u0631\u0648\u0632\u0627\u0641\u0632\u0648\u0646 \u0645\u062d\u06cc\u0637 \u0628\u0631\u0646\u0627\u0645\u0647 \u0646\u0648\u06cc\u0633\u06cc \u0622\u0645\u0627\u0631\u06cc R-Zerocost \u060c \u0647\u0631\u06af\u0632 \u0632\u0645\u0627\u0646 \u0628\u0647\u062a\u0631\u06cc \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 ML \u062f\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0634\u0645\u0627 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0634\u062a\u0647 \u0627\u0633\u062a.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062f\u0631 ML \u0628\u0647 \u0634\u0645\u0627 \u0622\u0645\u0648\u0632\u0634 \u0645\u06cc \u062f\u0647\u062f\u061f\u0622\u062e\u0631\u06cc\u0646 \u06a9\u062f \u062f\u0631 R 3.5.\u0634\u0645\u0627 \u0628\u0631\u0627\u06cc 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\u0637\u0628\u06cc\u0639\u06cc (NLP) \u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0648 \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u0631\u0627 \u06a9\u0634\u0641 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f \u06a9\u0647 \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0634\u0645\u0627 \u0631\u0627 \u062f\u0631 \u062a\u0648\u0633\u0639\u0647 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627 \u0628\u06cc\u0634\u062a\u0631 \u0645\u06cc \u06a9\u0646\u062f.\u0647\u0631 \u0641\u0635\u0644 \u0628\u0647 \u0634\u0645\u0627 \u062f\u0631 \u0627\u062c\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 ML \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u06a9\u0645\u06a9 \u0645\u06cc 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\u0628\u0647 \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc ML \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u06cc\u0627 \u062f\u0631 \u0645\u062d\u0644 \u06a9\u0627\u0631 \u0645\u062c\u0647\u0632 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f.<br \/>\n\u0622\u0646\u0686\u0647 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a<\/p>\n<p>\u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0631\u0648\u0634 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627 \u0633\u0647\u0648\u0644\u062a \u062a\u0647\u06cc\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n\u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u06a9\u062f \u0622\u0645\u0627\u062f\u0647 \u062a\u0648\u0644\u06cc\u062f \u0631\u0627 \u0628\u0646\u0648\u06cc\u0633\u06cc\u062f \u0648 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u062f<br \/>\n\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u0627\u062f\u0647 \u0648 \u0645\u0624\u062b\u0631 \u0628\u0631\u0627\u06cc \u0628\u06cc\u0646\u0634 \u0647\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u06cc\u0627\u0641\u062a\u0647 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f<br \/>\n\u0631\u0648\u0634\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u0633\u062a\u0627\u062f \u060c \u0645\u0627\u0646\u0646\u062f \u062a\u0642\u0648\u06cc\u062a \u062f\u0631\u062e\u062a\u0627\u0646 \u0648 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642<br \/>\n\u0627\u0632 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0628\u06cc\u0646\u0634 \u062f\u0631 \u0631\u0627\u0628\u0637\u0647 \u0628\u0627 \u0645\u062a\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062f\u0631\u062e\u062a \u060c \u0627\u0632 \u062c\u0645\u0644\u0647 \u062c\u0646\u06af\u0644 \u062a\u0635\u0627\u062f\u0641\u06cc \u0648 \u062f\u0631\u062e\u062a \u062a\u0642\u0648\u06cc\u062a \u0634\u062f\u0647 \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u06cc \u0627\u0633\u062a<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u0639\u0644\u0648\u0645 \u062f\u0627\u062f\u0647 \u060c \u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u06cc\u0627 \u0647\u0631 \u06a9\u0633\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0628\u0631\u0627\u06cc \u06a9\u0645\u06a9 \u0628\u0647 \u0622\u0646\u0647\u0627 \u062f\u0631 \u0627\u062c\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0633\u0637\u062d \u0628\u0639\u062f\u06cc \u0628\u0631\u0633\u0627\u0646\u06cc\u062f \u0648 \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u067e\u06cc\u0634\u0631\u0641\u062a \u0628\u06cc\u0634\u062a\u0631\u06cc \u06a9\u0646\u06cc\u062f.\u062f\u0627\u0646\u0634 \u06a9\u0627\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627 R \u0627\u0644\u0632\u0627\u0645\u06cc \u0627\u0633\u062a.<br \/>\n\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<p>\u062a\u0647\u06cc\u0647 \u0648 \u062f\u0631\u06a9 \u062f\u0627\u062f\u0647 \u0647\u0627<br \/>\n\u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u062e\u0637\u06cc<br \/>\n\u0631\u06af\u0631\u0633\u06cc\u0648\u0646 \u0644\u062c\u0633\u062a\u06cc\u06a9<br \/>\n\u0627\u0646\u062a\u062e\u0627\u0628 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062f\u0631 \u0645\u062f\u0644 \u0647\u0627\u06cc \u062e\u0637\u06cc<br \/>\nK-Nearest \u0647\u0645\u0633\u0627\u06cc\u06af\u0627\u0646 \u0648 \u062f\u0633\u062a\u06af\u0627\u0647 \u0647\u0627\u06cc \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc<br \/>\n\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062f\u0631\u062e\u062a<br \/>\n\u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642<br \/>\n\u0627\u06cc\u062c\u0627\u062f \u06af\u0631\u0648\u0647 \u0647\u0627 \u0648 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0686\u0646\u062f \u0637\u0628\u0642\u0647<br \/>\n\u0622\u0646\u0627\u0644\u06cc\u0632 \u062e\u0648\u0634\u0647 \u0627\u06cc<br \/>\n\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u0624\u0644\u0641\u0647 \u0627\u0635\u0644\u06cc<br \/>\n\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0627\u0631\u062a\u0628\u0627\u0637<br \/>\n\u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0648 \u0639\u0644\u06cc\u062a<br \/>\n\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0645\u062a\u0646<br \/>\n\u067e\u06cc\u0648\u0633\u062a A- \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0628\u0633\u062a\u0647<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: Mastering Machine Learning with R: Advanced machine learning techniques for building smart applications with R [&hellip;]<\/p>\n","protected":false},"featured_media":40148,"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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