{"id":27100,"date":"2024-02-28T23:54:01","date_gmt":"2024-02-29T00:54:01","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%85%d9%87%d9%86%d8%af%d8%b3%db%8c-%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-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%da%86%d8%b1\/"},"modified":"2024-02-28T23:54:01","modified_gmt":"2024-02-29T00:54:01","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d9%85%d9%87%d9%86%d8%af%d8%b3%db%8c-%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-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%da%86%d8%b1","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%85%d9%87%d9%86%d8%af%d8%b3%db%8c-%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-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%da%86%d8%b1\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0645\u0647\u0646\u062f\u0633\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646: \u0686\u0631\u062e\u0647 \u0639\u0645\u0631 \u062a\u0648\u0644\u06cc\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 MLOP \u0647\u0627 \u0628\u0627 \u0645\u062b\u0627\u0644 \u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0645\u062f\u06cc\u0631\u06cc\u062a \u06a9\u0646\u06cc\u062f"},"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 Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/02\/9781801079259.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples\" \/><\/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 Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples<\/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: 2021\u00a0\u00a0|\u00a0\u00a0276 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 16 \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>Andrew P. McMahon<\/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>1801079250<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781801079259<\/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;\">Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments<br \/>\nKey FeaturesExplore hyperparameter optimization and model management tools<br \/>\nLearn object-oriented programming and functional programming in Python to build your own ML libraries and packages<br \/>\nExplore key ML engineering patterns like microservices and the Extract Transform Machine Learn (ETML) pattern with use casesBook Description<\/p>\n<p>Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.<\/p>\n<p>Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You&#8217;ll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you&#8217;ll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you&#8217;ll work through examples to help you solve typical business problems.<\/p>\n<p>By the end of this book, you&#8217;ll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.<br \/>\nWhat you will learn<\/p>\n<p>Find out what an effective ML engineering process looks like<br \/>\nUncover options for automating training and deployment and learn how to use them<br \/>\nDiscover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutions<br \/>\nUnderstand what aspects of software engineering you can bring to machine learning<br \/>\nGain insights into adapting software engineering for machine learning using appropriate cloud technologies<br \/>\nPerform hyperparameter tuning in a relatively automated way<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. If you&#8217;re someone who manages or wants to understand the production life cycle of these systems, you&#8217;ll find this book useful. Intermediate-level knowledge of Python is necessary.<br \/>\nTable of Contents<\/p>\n<p>Introduction to ML Engineering<br \/>\nThe Machine Learning Development Process<br \/>\nFrom Model to Model Factory<br \/>\nPackaging Up<br \/>\nDeployment Patterns and Tools<br \/>\nScaling Up<br \/>\nBuilding an Example ML Microservice<br \/>\nBuilding an Extract Transform Machine Learning Use Case<\/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 \u0627\u06cc\u062c\u0627\u062f \u0631\u0627\u0647 \u062d\u0644 \u0647\u0627\u06cc \u0645\u0642\u06cc\u0627\u0633 \u067e\u0630\u06cc\u0631 \u0648 \u0642\u0648\u06cc \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0631 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f\u06cc \u0628\u0647 \u0622\u0646\u0647\u0627 \u062e\u062f\u0645\u062a 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\u0647\u0627 \u0648 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc ML \u062e\u0648\u062f \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f<br \/>\n\u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u0645\u0647\u0646\u062f\u0633\u06cc \u06a9\u0644\u06cc\u062f\u06cc ML \u0645\u0627\u0646\u0646\u062f \u0645\u06cc\u06a9\u0631\u0648\u0633\u0631\u0648\u06cc\u0633 \u0648 \u0627\u0644\u06af\u0648\u06cc Extract Transform Machine Learn (ETML) \u0631\u0627 \u0628\u0627 \u0645\u0648\u0627\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n<p>\u0645\u0647\u0646\u062f\u0633\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u06cc\u06a9 \u0631\u0634\u062a\u0647 \u067e\u0631 \u0631\u0648\u0646\u0642 \u062f\u0631 \u0631\u0627\u0628\u0637 \u062a\u0648\u0633\u0639\u0647 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u0648 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\u0646\u0633\u0628\u062a\u0627\u064b \u062e\u0648\u062f\u06a9\u0627\u0631 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\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\u0647\u0646\u062f\u0633\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u060c \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u062f\u0627\u062f\u0647 \u0648 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u0631\u0627\u0647 \u062d\u0644 \u0647\u0627\u06cc \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631\u06cc \u0642\u0648\u06cc \u0628\u0627 \u0627\u062c\u0632\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 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\u062a\u0648\u0633\u0639\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<br \/>\n\u0627\u0632 \u0645\u062f\u0644 \u062a\u0627 \u06a9\u0627\u0631\u062e\u0627\u0646\u0647 \u0645\u062f\u0644<br \/>\n\u0628\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc<br \/>\n\u0627\u0644\u06af\u0648\u0647\u0627\u06cc \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0627\u0633\u062a\u0642\u0631\u0627\u0631<br \/>\n\u0645\u0642\u06cc\u0627\u0633 \u067e\u0630\u06cc\u0631<br \/>\n\u0633\u0627\u062e\u062a \u06cc\u06a9 \u0645\u06cc\u06a9\u0631\u0648\u0633\u0631\u0648\u06cc\u0633 ML<br \/>\n\u0633\u0627\u062e\u062a\u0646 \u06cc\u06a9 \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0627\u0634\u06cc\u0646 \u0622\u0644\u0627\u062a \u062a\u0628\u062f\u06cc\u0644 \u0639\u0635\u0627\u0631\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: Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using [&hellip;]<\/p>\n","protected":false},"featured_media":27102,"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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