{"product_id":"mlops-engineering-at-scale","title":"MLOps Engineering at Scale","description":"Dodge costly and time-consuming infrastructure tasks, and rapidly bring your machine learning models to production with MLOps and pre-built serverless tools!\n\nIn MLOps Engineering at Scale you will learn:\n\nExtracting, transforming, and loading datasets\nQuerying datasets with SQL\nUnderstanding automatic differentiation in PyTorch\nDeploying model training pipelines as a service endpoint\nMonitoring and managing your pipeline’s life cycle\nMeasuring performance improvements\n\nMLOps Engineering at Scale shows you how to put machine learning into production efficiently by using pre-built services from AWS and other cloud vendors. You’ll learn how to rapidly create flexible and scalable machine learning systems without laboring over time-consuming operational tasks or taking on the costly overhead of physical hardware. Following a real-world use case for calculating taxi fares, you will engineer an MLOps pipeline for a PyTorch model using AWS server-less capabilities.\n\nPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\n\nAbout the technology\nA production-ready machine learning system includes efficient data pipelines, integrated monitoring, and means to scale up and down based on demand. Using cloud-based services to implement ML infrastructure reduces development time and lowers hosting costs. Serverless MLOps eliminates the need to build and maintain custom infrastructure, so you can concentrate on your data, models, and algorithms.\n\nAbout the book\nMLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you’ve never used a cloud platform before. You’ll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production.\n\nWhat's inside\n\nReduce or eliminate ML infrastructure management\nLearn state-of-the-art MLOps tools like PyTorch Lightning and MLFlow\nDeploy training pipelines as a service endpoint\nMonitor and manage your pipeline’s life cycle\nMeasure performance improvements\n\nAbout the reader\nReaders need to know Python, SQL, and the basics of machine learning. No cloud experience required.\n\nAbout the author\nCarl Osipov implemented his first neural net in 2000 and has worked on deep learning and machine learning at Google and IBM.\n\nTable of Contents\n\nPART 1 - MASTERING THE DATA SET\n1 Introduction to serverless machine learning\n2 Getting started with the data set\n3 Exploring and preparing the data set\n4 More exploratory data analysis and data preparation\nPART 2 - PYTORCH FOR SERVERLESS MACHINE LEARNING\n5 Introducing PyTorch: Tensor basics\n6 Core PyTorch: Autograd, optimizers, and utilities\n7 Serverless machine learning at scale\n8 Scaling out with distributed training\nPART 3 - SERVERLESS MACHINE LEARNING PIPELINE\n9 Feature selection\n10 Adopting PyTorch Lightning\n11 Hyperparameter optimization\n12 Machine learning pipeline\u003cbr\u003eASIN: 1617297763\u003cbr\u003eVSKU: GBV.1617297763.A\u003cbr\u003eCondition: Acceptable\u003cbr\u003eAuthor\/Artist:Osipov, Carl\u003cbr\u003eBinding: Paperback\u003cbr\u003e\u003cb\u003eNote:\u003c\/b\u003e Any images shown are stock photographs and product may differ from what is shown.  \u003cbr\u003e\u003cb\u003eCondition Notes\u003c\/b\u003e: This book is in acceptable condition and may have highlighting and or writing throughout. The actual cover image may not match the stock photo, dust jacket may be damaged or missing. Book may show internal and or external wear on spine or cover and may be slightly skewed or have creased pages. This is a used book so codes may be invalid or accompanying media may be missing. May be an Ex library book with stickers and stamps.  \u003cbr\u003e","brand":"Good Books Company","offers":[{"title":"Default Title","offer_id":53874377195825,"sku":"GBV.1617297763.A","price":41.32,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0914\/3730\/2065\/files\/1617297763-0.jpg?v=1776710862","url":"https:\/\/goodbookscompany.org\/products\/mlops-engineering-at-scale","provider":"Good Books Company","version":"1.0","type":"link"}