| Summary: | Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks In Detail 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. 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. 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. What You Will Learn Learn to use Azure Machine Learning Studio to visualize and pre-process data Build models and make predictions using data classification, regression, and clustering algorithms Build a basic recommender system Deploy your predictive solution as a Web service API Integrate R and Python code in your model built with ML Studio Explore with more than one case study
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