Mund S. - Microsoft Azure Machine Learning
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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 stepdata 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. iPAD Amazon Kindle, PC , Cool Reader, Calibre, Adobe Digital Editions
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Copyright 2015 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: June 2015
Production reference: 1100615
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78439-079-2
www.packtpub.com
Cover image by Kamal Kanta Majhi
Author
Sumit Mund
Reviewers
Grigor Aslanyan
Alisson Sol
Abhishek Sur
Radu Tudoran
Commissioning Editor
Ashwin Nair
Acquisition Editor
Meeta Rajani
Content Development Editor
Adrian Raposo
Technical Editor
Abhishek R. Kotian
Copy Editors
Sonia Michelle Cheema
Neha Vyas
Project Coordinator
Sanchita Mandal
Proofreaders
Stephen Copestake
Safis Editing
Indexer
Monica Ajmera Mehta
Production Coordinator
Conidon Miranda
Cover Work
Conidon Miranda
Sumit Mund is a BI/analytics consultant with about a decade of industry experience. He works in his own company, Mund Consulting Ltd., where he is a director and lead consultant. He is an expert in machine learning, predictive analytics, C#, R, and Python programming; he also has an active interest in Artificial Intelligence. He has extensive experience working with most of Microsoft Data Analytics tools and also on Big Data platforms, such as Hadoop and Spark. He is a Microsoft Certified Solution Expert (MCSE in Business Intelligence).
Sumit regularly engages on social media platforms through his tweets, blogs, and LinkedIn profile, and often gives talks at industry conferences and local user group meetings.
I may have written this book, but this project would never have been a success without the active help and support of many people who have contributed to my journey; I would like to thank them all sincerely and from the bottom of my heart.
Firstly, I'd like to thank the acquisition editor, Meeta Rajani, for approaching and convincing me to write this title. The book improved in manifold ways through valuable comments from all the reviewers, time and again. Adrian Raposo did a commendable job helping develop the content as well as coordinating the overall project management. This book would not have been in its current shape had it not received the perfect touch of the technical editor, Abhishek Kotian, and also all the proofreaders.
Special thanks to my colleagues, Kamal and Mahananda. Kamal took time to get the cover image for the book, while Mahananda took the pain of scanning through the drafts, making sure that all the examples were running well. He also gave suggestions wherever screenshots or steps were changed. When you start writing a book on a product that has been around since its beta days and is still going through changes till its final release, the job of making sure that all the screenshots and steps are correct and up to date is a challenge. Mahananda really made it easy for me.
Last but not least, I'd like to point out that, if someone has suffered because of this project, it's my dear wife, Pallabi. Whether it involved making late night coffee, sacrificing weekends and bank holidays, whenever I implored her to bear with me by saying, "It's the book", she has always responded with a smile, without asking any question. Thank you for all your love, understanding, patience, and support.
I would also like to sincerely thank all those, though not mentioned here, who have helped me in this project directly or indirectly.
Grigor Aslanyan is a theoretical cosmologist who mainly focuses on computational methods for data analysis. He has a PhD in physics from the University of California, San Diego, and is currently a postdoctoral research fellow at the University of Auckland in New Zealand.
Grigor was born and raised in Armenia. He obtained his bachelor's and master's degrees in physics and computer science at Yerevan State University, Armenia, before moving to California for his PhD studies. He has also worked as a software engineer for 3 years at Pont Solutions (which was later acquired by Mentor Graphics).
Grigor's research focuses on studying the theory of the early universe by using experimental data from Cosmic Microwave Background radiation and galaxy surveys. His research requires the development and implementation of complex numerical tools used to analyze the data on large computational clusters, with the ultimate goal of learning about the theory of the early universe. Grigor's current research is focused on applying advanced data science and machine learning techniques to improve the data analysis methods in cosmology, making it possible to analyze large amounts of data expected from current and future generation experiments.
He has implemented the publicly available numerical library, Cosmo++, which includes general mathematical and statistical tools for data analysis as well as cosmology-specific packages. The library is written in C++, and it is publicly available at http://cosmopp.com.
I thank the University of Auckland and my supervisor, Richard Easther, for supporting my work on this book.
Alisson Sol is currently a Group Engineering Manager for Microsoft in Bellevue, Washington. He has many years of experience in software development, having hired and managed several software teams that shipped many applications and frameworks, with focus on image processing, computer vision, ERP, business intelligence, big data, machine learning, and distributed systems. Alisson has been working for Microsoft and Microsoft Research in the USA and UK since 2000, and was previously a cofounder of 3 software companies. He has published several technical papers and has several patent applications and granted patents. He has a B.Sc. in physics and an M.Sc. in Computer Science from the Federal University of Minas Gerais, Brazil, and General Management training from the University of Cambridge, UK. When not coding, he likes to play soccer or disassemble hardware, put it back to work, and reuse the spare parts elsewhere!
Abhishek Sur has been a Microsoft MVP since 2011. He is currently working as a product head with Insync Tech-Fin Solutions Pvt Ltd. He has profound theoretical insight and years of hands-on experience in different .NET products and languages. Over the years, he has helped developers all over the world through his experience and knowledge. He owns a Microsoft User Group in Kolkata called Kolkata Geeks, and regularly organizes events and seminars in various places to spread .NET awareness. He is a renowned public speaker, voracious reader, and a technology buff. Abhishek's main interest lies in exploring the new realms of .NET technology and coming up with priceless write-ups on the unexplored domains of .NET. He is associated with the Microsoft Insider list on WPF and C# and stays in touch with Product Group teams. He holds a master's degree in computer application along with various other certificates to his credit.
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