{"id":40853,"date":"2024-09-18T14:49:24","date_gmt":"2024-09-18T14:49:24","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%a7%d9%84%da%af%d9%88%d9%87%d8%a7-%d9%88-%d8%a8%d9%87%d8%aa%d8%b1%db%8c%d9%86-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d8%a7%d8%b1%d8%a7%d8%a6%d9%87-%d9%85%d8%af%d9%84-%db%8c\/"},"modified":"2024-09-18T11:27:46","modified_gmt":"2024-09-18T11:27:46","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%a7%d9%84%da%af%d9%88%d9%87%d8%a7-%d9%88-%d8%a8%d9%87%d8%aa%d8%b1%db%8c%d9%86-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d8%a7%d8%b1%d8%a7%d8%a6%d9%87-%d9%85%d8%af%d9%84-%db%8c","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%a7%d9%84%da%af%d9%88%d9%87%d8%a7-%d9%88-%d8%a8%d9%87%d8%aa%d8%b1%db%8c%d9%86-%d8%b1%d9%88%d8%b4-%d9%87%d8%a7%db%8c-%d8%a7%d8%b1%d8%a7%d8%a6%d9%87-%d9%85%d8%af%d9%84-%db%8c\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0627\u0644\u06af\u0648\u0647\u0627 \u0648 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0631\u0648\u0634 \u0647\u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u061b \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0645\u0639\u062a\u0628\u0631 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0642\u0631\u0627\u0631\u060c \u0646\u0638\u0627\u0631\u062a \u0648 \u0627\u0631\u0627\u0626\u0647 \u062f\u0633\u062a\u0631\u0633\u06cc \u0628\u0647 \u0645\u062f\u0644 \u0647\u0627\u06cc ML \u062f\u0631 \u062a\u0648\u0644\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 Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in production\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/09\/9781803249902.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in production\" \/><\/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 Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in production<\/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: 2022\u00a0\u00a0|\u00a0\u00a0336 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 25 \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>Md Johirul Islam<\/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>1803249900<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781803249902<\/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;\">Become a successful machine learning professional by effortlessly deploying machine learning models to production and implementing cloud-based machine learning models for widespread organizational use<br \/>\nKey FeaturesLearn best practices about bringing your models to production<br \/>\nExplore the tools available for serving ML models and the differences between them<br \/>\nUnderstand state-of-the-art monitoring approaches for model serving implementationsBook Description<\/p>\n<p>Serving patterns enable data science and ML teams to bring their models to production. Most ML models are not deployed for consumers, so ML engineers need to know the critical steps for how to serve an ML model.<\/p>\n<p>This book will cover the whole process, from the basic concepts like stateful and stateless serving to the advantages and challenges of each. Batch, real-time, and continuous model serving techniques will also be covered in detail. Later chapters will give detailed examples of keyed prediction techniques and ensemble patterns. Valuable associated technologies like TensorFlow severing, BentoML, and RayServe will also be discussed, making sure that you have a good understanding of the most important methods and techniques in model serving. Later, you&#8217;ll cover topics such as monitoring and performance optimization, as well as strategies for managing model drift and handling updates and versioning. The book will provide practical guidance and best practices for ensuring that your model serving pipeline is robust, scalable, and reliable. Additionally, this book will explore the use of cloud-based platforms and services for model serving using AWS SageMaker with the help of detailed examples.<\/p>\n<p>By the end of this book, you&#8217;ll be able to save and serve your model using state-of-the-art techniques.<br \/>\nWhat you will learn<\/p>\n<p>Explore specific patterns in model serving that are crucial for every data science professional<br \/>\nUnderstand how to serve machine learning models using different techniques<br \/>\nDiscover the various approaches to stateless serving<br \/>\nImplement advanced techniques for batch and streaming model serving<br \/>\nGet to grips with the fundamental concepts in continued model evaluation<br \/>\nServe machine learning models using a fully managed AWS Sagemaker cloud solution<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for machine learning engineers and data scientists who want to bring their models into production. Those who are familiar with machine learning and have experience of using machine learning techniques but are looking for options and strategies to bring their models to production will find great value in this book. Working knowledge of Python programming is a must to get started.<br \/>\nTable of Contents<\/p>\n<p>Introducing Model Serving<br \/>\nIntroducing Model Serving Patterns<br \/>\nStateless Model Serving<br \/>\nContinuous Model Evaluation<br \/>\nKeyed Prediction<br \/>\nBatch Model Serving Pattern<br \/>\nOnline Learning Model Serving<br \/>\nTwo-Phase Model Pattern<br \/>\nPipeline Pattern Model Serving<br \/>\nEnsemble Model Serving Pattern<br \/>\nBusiness Logic Pattern<br \/>\nExploring Tensorflow Serving<br \/>\nUsing Ray Serve<br \/>\nUsing BentoML<br \/>\nServing ML Models using a Fully Managed Cloud Solution<\/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\u0633\u062a\u0642\u0631\u0627\u0631 \u0628\u062f\u0648\u0646 \u0632\u062d\u0645\u062a \u0645\u062f\u0644 \u0647\u0627\u06cc 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\u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and [&hellip;]<\/p>\n","protected":false},"featured_media":40854,"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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