Build machine learning models using Python and deploy them on the cloud
Saleh Alkhalifa
BIRMINGHAM—MUMBAI
Copyright © 2022 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 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: Ali Abidi
Senior Editor: David Sugarman
Content Development Editor: Nathanya Dias
Technical Editor: Rahul Limbachiya
Copy Editor: Safis Editing
Project Coordinator: Aparna Ravikumar Nair
Proofreader: Safis Editing
Indexer: Pratik Shirodkar
Production Designer: Joshua Misquitta
Marketing Coordinator: Abeer Riyaz Dawe
First published: January 2022
Production reference: 1221221
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-80181-191-0
Saleh Alkhalifa is a data scientist and manager in the biotechnology industry with 4 years of industry experience working and living in the Boston area. With a strong academic background in the applications of machine learning for discovery, prediction, forecasting, and analysis, he has spent the last 3 years developing models that touch all facets of business and scientific functions.
Indraneel Chakraborty is a data science enthusiast with an open mindset and a passion for solving data problems with code and building cloud-based data apps. He has both academic and industrial skill sets that include experience in the curation and analysis of clinical trials registry data for insights into policy research and also experience working with biomedical data providing ML/AI-ready solutions. He enjoys coding in Python and R, with lots of Googling, of course!
Dr Neha Kalla has a PhD in biotechnology from Banasthali University, India. During her PhD, she spent time working as a project assistant in an Indo-Danish project and also worked at the Centre for Conservation and Utilization of BGA, Indian Agricultural Research Institute, India. After completing her PhD, she developed associations with some of the most renowned professors and scientists across India and at Cambridge University. Following a long stint in research and academia, she decided to proceed with her career as a data scientist. She is presently working as a senior data scientist in the sphere of AI, offering machine learning-based retail solutions in Germany.