{"product_id":"9781484265482","title":"Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure","description":"\u003ch1\u003eBeginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure\u003c\/h1\u003e \u003ch2\u003eAlla, Sridhar; Adari, Suman Kalyan\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cdiv\u003eIntegrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. ​This book guides you through the process of data analysis, model construction, and training.\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\u003cdiv\u003eThe authors begin by introducing you to basic data analysis on a credit card data set and teach you how to analyze the features and their relationships to the target variable. You will learn how to build logistic regression models in scikit-learn and PySpark, and you will go through the process of hyperparameter tuning with a validation data set. You will explore three different deployment setups of machine learning models with varying levels of automation to help you better understand MLOps. MLFlow is covered and you will explore how to integrate MLOps into your existing code, allowing you to easily track metrics, parameters, graphs, and models. You will be guided through the process of deploying and querying your models with AWS SageMaker, Google Cloud, and Microsoft Azure. And you will learn how to integrate your MLOps setups using Databricks.\u003cbr\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cdiv\u003e \u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePerform basic data analysis and construct models in scikit-learn and PySpark\u003c\/li\u003e\n\u003cli\u003eTrain, test, and validate your models (hyperparameter tuning)\u003c\/li\u003e\n\u003cli\u003eKnow what MLOps is and what an ideal MLOps setup looks like\u003c\/li\u003e\n\u003cli\u003eEasily integrate MLFlow into your existing or future projects\u003c\/li\u003e\n\u003cli\u003eDeploy your models and perform predictions with them on the cloud\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\n\n\n\n\n\n\n\n\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/div\u003e\n\u003cdiv\u003eData scientists and machine learning engineers who want to learn MLOps and know how to operationalize their models\u003c\/div\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2020-12-08\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781484265482\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4842-6549-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 330\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":47530337599628,"sku":"9781484265482","price":58.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781484265482.jpg?v=1776048960","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781484265482","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}