{"product_id":"mastering-azure-machine-learning-perform-large-scale-end-to-end-advanced-machine-learning-on-the-cloud-with-microsoft-azure-ml-paperback","title":"Mastering Azure Machine Learning: Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML - Paperback","description":"\u003cp\u003eby \u003cb\u003eKaijisse Waaijer\u003c\/b\u003e (Author), \u003cb\u003eChristoph Körner\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eMake sense of data on the cloud by implementing advanced analytics\u003c\/li\u003e \u003cli\u003eTrain and optimize advanced deep learning models efficiently on Spark using Azure Databricks\u003c\/li\u003e \u003cli\u003eDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.\u003c\/p\u003e \u003cp\u003eThe book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure ML and takes you through the process of data experimentation, data preparation, and feature engineering using Azure ML and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure AutoML and HyperDrive, and perform distributed training on Azure ML. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure ML, along with the basics of MLOps--DevOps for ML to automate your ML process as CI\/CD pipeline.\u003c\/p\u003e \u003cp\u003eBy the end of this book, you'll have mastered Azure ML and be able to confidently design, build and operate scalable ML pipelines in Azure.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eSetup your Azure ML workspace for data experimentation and visualization\u003c\/li\u003e \u003cli\u003ePerform ETL, data preparation, and feature extraction using Azure best practices\u003c\/li\u003e \u003cli\u003eImplement advanced feature extraction using NLP and word embeddings\u003c\/li\u003e \u003cli\u003eTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure ML\u003c\/li\u003e \u003cli\u003eUse hyperparameter tuning and AutoML to optimize your ML models\u003c\/li\u003e \u003cli\u003eEmploy distributed ML on GPU clusters using Horovod in Azure ML\u003c\/li\u003e \u003cli\u003eDeploy, operate and manage your ML models at scale\u003c\/li\u003e \u003cli\u003eAutomated your end-to-end ML process as CI\/CD pipelines for MLOps\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 436\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.89 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 30, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47413780218034,"sku":"9781789807554","price":70.54,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/80594a326597b199b240ac1e514c6dd5.webp?v=1778359885","url":"https:\/\/box.dadyminds.org\/products\/mastering-azure-machine-learning-perform-large-scale-end-to-end-advanced-machine-learning-on-the-cloud-with-microsoft-azure-ml-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}