Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks
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
Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.