{"product_id":"9781638356509","title":"MLOps Engineering at Scale","description":"\u003cb\u003eDodge costly and time-consuming infrastructure tasks, and rapidly bring your machine learning models to production with MLOps and pre-built serverless tools!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eMLOps Engineering at Scale\u003c\/i\u003e you will learn:\u003cbr\u003e \u003cbr\u003e    Extracting, transforming, and loading datasets\u003cbr\u003e     Querying datasets with SQL\u003cbr\u003e     Understanding automatic differentiation in PyTorch\u003cbr\u003e     Deploying model training pipelines as a service endpoint\u003cbr\u003e     Monitoring and managing your pipeline’s life cycle\u003cbr\u003e     Measuring performance improvements\u003cbr\u003e \u003cbr\u003e \u003ci\u003eMLOps Engineering at Scale\u003c\/i\u003e 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.\u003cbr\u003e \u003cbr\u003e About the technology\u003cbr\u003e A 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.\u003cbr\u003e \u003cbr\u003e About the book\u003cbr\u003e \u003ci\u003eMLOps Engineering at Scale\u003c\/i\u003e 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.\u003cbr\u003e \u003cbr\u003e What's inside\u003cbr\u003e \u003cbr\u003e    Reduce or eliminate ML infrastructure management\u003cbr\u003e     Learn state-of-the-art MLOps tools like PyTorch Lightning and MLFlow\u003cbr\u003e     Deploy training pipelines as a service endpoint\u003cbr\u003e     Monitor and manage your pipeline’s life cycle\u003cbr\u003e     Measure performance improvements\u003cbr\u003e \u003cbr\u003eAbout the reader\u003cbr\u003e Readers need to know Python, SQL, and the basics of machine learning. No cloud experience required.\u003cbr\u003e \u003cbr\u003e About the author\u003cbr\u003e \u003cb\u003eCarl Osipov\u003c\/b\u003e implemented his first neural net in 2000 and has worked on deep learning and machine learning at Google and IBM.\u003cbr\u003e \u003cbr\u003e Table of Contents\u003cbr\u003e \u003cbr\u003ePART 1 - MASTERING THE DATA SET\u003cbr\u003e 1 Introduction to serverless machine learning\u003cbr\u003e 2 Getting started with the data set\u003cbr\u003e 3 Exploring and preparing the data set\u003cbr\u003e 4 More exploratory data analysis and data preparation\u003cbr\u003e PART 2 - PYTORCH FOR SERVERLESS MACHINE LEARNING\u003cbr\u003e 5 Introducing PyTorch: Tensor basics\u003cbr\u003e 6 Core PyTorch: Autograd, optimizers, and utilities\u003cbr\u003e 7 Serverless machine learning at scale\u003cbr\u003e 8 Scaling out with distributed training\u003cbr\u003e PART 3 - SERVERLESS MACHINE LEARNING PIPELINE\u003cbr\u003e 9 Feature selection\u003cbr\u003e 10 Adopting PyTorch Lightning\u003cbr\u003e 11 Hyperparameter optimization\u003cbr\u003e 12 Machine learning pipeline","brand":"Manning","offers":[{"title":"Default Title","offer_id":46419234947313,"sku":"9781638356509","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781638356509_p0.jpg?v=1765423051","url":"https:\/\/shop.barnesandnoble.com\/products\/9781638356509","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}