Salil Ajgaonkar - Practical Automated Machine Learning Using H2O.ai

Discover the power of automated machine learning,from experimentation through to deployment to production

Salil Ajgaonkar

BIRMINGHAMMUMBAI

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 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.

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.

Publishing Product Manager: Dhruv Jagdish Kataria

Senior Editor: Nathanya Dias

Technical Editor: Devanshi Ayare

Copy Editor: Safis Editing

Project Coordinator: Farheen Fathima

Proofreader: Safis Editing

Indexer: Subalakshmi Govindhan

Production Designer: Ponraj Dhandapani

Marketing Coordinators: Shifa Ansari, Abeer Riyaz Dawe

First published: September 2022

Production reference: 1140922

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80107-452-0

www.packt.com

Salil Ajgaonkar is a software engineer experienced in building and scaling cloud-based microservices and productizing machine learning models. His background includes work in transaction systems, artificial intelligence, and cyber security. He is passionate about solving complex scaling problems, building machine learning pipelines, and data engineering. Salil earned his degree in IT from Xavier Institute of Engineering, Mumbai, India, in 2015 and later earned his masters degree in computer science from Trinity College Dublin, Ireland, in 2018, specializing in future networked systems. His work history includes the likes of BookMyShow, Genesys, and Vectra AI.

I would like to thank my lovely wife, Oshin, for supporting me and making sure I gave my best effort to writing this book. Also, thanks to my parents, who taught me to always say yes to all opportunities that come my way.

I would also like to thank the Packt team for giving me the opportunity to write this book and play my part in giving back to the programming community. Special thanks to Dhruv for coordinating the publication effort, Kirti for scheduling and keeping things on track over the year, and Nathanya and the editorial team for ensuring that the book is of the highest quality.

Last but not least, special thanks to Dr. Emir Muoz for his valuable insights into the technical aspects of the book.

Emir Muoz is a senior manager of machine learning at Genesys, where he works on projects to enhance customer experience using artificial intelligence, machine learning, and data science. He has experience in academia and industry, which he uses to leverage emerging technologies and algorithms to deliver innovative solutions. Currently, he leads a team that mines contact center data to train machine learning models to optimize contact center routing.

Emir holds a PhD in computer science with a specialization in machine learning. He also received a BEng in informatics and an MSc in computer engineering. He is the author of several papers and patents on the topics of semantic web, machine learning, knowledge graphs, and contact center analytics.