Automated Machine Learning with Microsoft Azure

A practical step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming languageKey Features://Create deploy productionalize and scale automated machine learning solutions on Microsoft AzureImprove the accuracy of your ML models through automatic data featurization and model trainingIncrease productivity in your organization by using artificial intelligence to solve common problemsbr>/Book Description://Automated Machine Learning with Microsoft Azure will teach you how to build high-performing accurate machine learning models in record time. It will equip you with the knowledge and skills to easily harness the power of artificial intelligence and increase the productivity and profitability of your business./br>/Guided user interfaces (GUIs) enable both novices and novices and seasoned data scientists to easily train and deploy machine learning solutions to production. Using a careful step-by-step approach this book will teach you how to use Azure AutoML with a GUI as well as the AzureML Python software development kit (SDK)./br>/First you'll learn how to prepare data train models and register them to your Azure Machine Learning workspace. You'll then discover how to take those models and use them to create both automated batch solutions using machine learning pipelines and real-time scoring solutions using Azure Kubernetes Service (AKS)./br>/Finally you will be able to use AutoML on your own data to not only train regression classification and forecasting models but also use them to solve a wide variety of business problems./By the end of this Azure book you'll be able to show your business partners exactly how your ML models are making predictions through automatically generated charts and graphs earning their trust and respect./br>/What You Will Learn://Understand how to train classification regression and forecasting ML algorithms with Azure AutoMLPrepare data for Azure AutoML to ensure smooth model training and deploymentAdjust AutoML configuration settings to make your models as accurate as possibleDetermine when to use a batch-scoring solution versus a real-time scoring solutionProductionalize your AutoML solution with Azure Machine Learning pipelinesCreate real-time scoring solutions with AutoML and Azure Kubernetes ServiceDiscover how to quickly deliver value and earn business trust using AutoMLTrain a large number of AutoML models at once using the AzureML Python SDKbr>/Who this book is for://Data scientists aspiring data scientists machine learning engineers or anyone interested in applying artificial intelligence or machine learning in their business will find this machine learning book useful./br>/You need to have beginner-level knowledge of artificial intelligence and a technical background in computer science statistics or information technology before getting started. Familiarity with Python will help you implement the more advanced features found in the chapters but even data analysts and SQL experts will be able to train ML models after finishing this book./