Ebook: Microsoft Azure Machine Learning

Packt Publishing, 2015. — 212 p. — ISBN-10: 1784390798, ISBN-13: 978-1784390792.

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.Learn how to build predictive models using a browser such as IE.
Explore different machine learning algorithms available.
Without any prior knowledge and experience get started with predictive analytics with confidence.Who This Book Is For:
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.Формат книги совместим с iPAD и Amazon Kindle, на PC открывается многими бесплатными ридерами, например Cool Reader, Calibre, Adobe Digital Editions