Microsoft Azure Machine Learning

Microsoft Azure Machine Learning

<p><b>Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks</b></p> <h2>About This Book</h2><ul><li>Learn how to build predictive models using a browser such as IE</li><li>Explore different machine learning algorithms available</li><li>Without any prior knowledge and experience get started with predictive analytics with confidence</li></ul><h2>Who This Book Is For</h2><p>The book is intended for those who want to learn how to use Azure Machine Learning. Perhaps you already know a bit about Machine Learning, but have never used ML Studio in Azure; or perhaps you are an absolute newbie. In either case, this book will get you up-and-running quickly.</p><h2>What You Will Learn</h2><ul> <li>Learn to use Azure Machine Learning Studio to visualize and pre-process data</li> <li>Build models and make predictions using data classification, regression, and clustering algorithms</li> <li>Build a basic recommender system</li> <li>Deploy your predictive solution as a Web service API</li> <li>Integrate R and Python code in your model built with ML Studio</li> <li>Explore with more than one case study</li> </ul><h2>In Detail</h2><p>This book provides you with the skills necessary to get started with Azure Machine Learning to build predictive models as quickly as possible, in a very intuitive way, whether you are completely new to predictive analysis or an existing practitioner.</p><p>The book starts by exploring ML Studio, the browser-based development environment, and explores the first step―data exploration and visualization. You will then build different predictive models using both supervised and unsupervised algorithms, including a simple recommender system. The focus then shifts to learning how to deploy a model to production and publishing it as an API.</p><p>The book ends with a couple of case studies using all the concepts and skills you have learned throughout the book to solve real-world problems.</p>