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Basak Anindita - Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence

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Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies

Key Features
  • Learn advanced concepts in Azure ML and the Cortana Intelligence Suite architecture
  • Explore ML Server using SQL Server and HDInsight capabilities
  • Implement various tools in Azure to build and deploy machine learning models
Book Description

Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way.

The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsofts Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, youll integrate patterns with other non-AI services in Azure.

By the end of this book, you will be fully equipped to implement smart cognitive actions in your models.

What you will learn
  • Discover the benefits of leveraging the cloud for ML and AI
  • Use Cognitive Services APIs to build intelligent bots
  • Build a model using canned algorithms from Microsoft and deploy it as a web service
  • Deploy virtual machines in AI development scenarios
  • Apply R, Python, SQL Server, and Spark in Azure
  • Build and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlow
  • Implement model retraining in IoT, Streaming, and Blockchain solutions
  • Explore best practices for integrating ML and AI functions with ADLA and logic apps
Who this book is for

If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. Youll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book

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.

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Hands-On Machine Learning with Azure Build powerful models with cognitive - photo 1
Hands-On Machine Learning with Azure
Build powerful models with cognitive machine learning and artificial intelligence
Thomas K Abraham
Parashar Shah
Jen Stirrup
Lauri Lehman
Anindita Basak

BIRMINGHAM - MUMBAI Hands-On Machine Learning with Azure Copyright 2018 - photo 2

BIRMINGHAM - MUMBAI
Hands-On Machine Learning with Azure

Copyright 2018 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 authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

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Contributors
About the authors

Thomas K Abraham is a cloud solution architect (advanced analytics and AI) at Microsoft in the South Central Region of the USA. Since January 2016, he's been assisting organizations in leveraging technologies such as SQL, Spark, Hadoop, NoSQL, BI, and AI on Azure. Prior to that, Thomas spent 10 years in Ecolab, where he designed algorithms for IoT devices and built solutions for anomaly detection. In the oil and gas division, he designed and built customer-facing analytics solutions for multiple super majors. His work was focused on preventing equipment failure by modeling corrosion, scale, and other stresses. He has a PhD in Chemical Engineering from The Ohio State University in 2005. His thesis focused on the use of nonlinear optimization with reaction models.

I would like to thank my wife, Dr. Anita Joy-Thomas, for being patient and loving while I hid out in the basement to write these chapters, my children, Rebecca and Matthew, for their love, and my parents and family members, who raised and supported me. I would also like to thank my friends and colleagues, especially those who gave me opportunities and trusted in me at Microsoft and Ecolab, and finally my advisor, Dr. Martin Feinberg, who taught me how to write and think with the highest technical rigor.

Parashar Shah is a Senior Program Manager in the Azure Machine Learning platform team. Currently, he works on making Azure Machine Learning services the best place to do e2e machine learning for building custom AI solutions using big data. Previously at Microsoft, he has been a Data Scientist and a Data Solutions Architect in various Cloud and AI teams.

Prior to joining Microsoft, Parashar worked at Nokia Networks as a Solutions Architect & Product Manager building customer experience analytics solutions for global telcos. He also co-founded a carpooling startup, which helped employees carpool safely. He has 10+ years of global work experience. He is an alum of Indian Institute of Management, Bangalore and Gujarat University.

I would like to thank my mom, Nita, my dad, Dr. Mahendra, and my sister, Vidhi, for their unconditional love and support throughout my life. I am thankful to my co-workers at Microsoft for building our awesome cloud and AI offerings. I am thankful to Kevin Walker for the advanced analytics-related opportunities afforded to me when at Alcatel-Lucent. I would like to thank my teachers who, over the years, taught me how to learn. And finally, thanks to my buddies Ritu, Dhaval, Nikhil, Dhruvit, Arun, Pradip, Subijay, Shamit, Naufal, Dharmesh, and Vicky for their awesome friendship.

Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.

Lauri Lehman is a data scientist who is focused on machine learning tools in Azure. He helps customers to design and implement machine learning solutions in the cloud. He works for the software consultancy company, Zure, based in Helsinki, Finland. For the past 4 years, Lauri has specialized in data and machine learning in Azure. He has worked on many machine learning projects, developing solutions for demand estimation, text analytics, and image recognition, for example. Lauri has previously worked as an academic researcher in theoretical physics, after obtaining his PhD on topological quantum walks. He still likes to follow the progress of modern physics and is eagerly a waiting the era of quantum machine learning!

I would like to thank my colleague, Karl Ots, for the opportunity to contribute to this book. I also want to thank all my colleagues for creating an awesome environment in which to work !

Anindita Basak works as a cloud solution architect in data analytics and AI platforms and has been working with Microsoft Azure from its inception. With over a decade of experience, she helps enterprises to enable their digital transformation journey empowered with cloud, data, and AI. She has worked with various teams at Microsoft as FTE in the role of Azure Development Support Engineer, Pro-Direct Delivery Manager, and Technical Consultant. She recently co-authored the book Stream Analytics with Microsoft Azure, and was a technical reviewer for various technologies, including data-intensive applications, Azure HDInsigt, SQL Server BI, IoT, and Decision Science for Packt. She has also authored two video courses on

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