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Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence

Ameet V Joshi

Machine Learning and Artificial Intelligence

123

Ameet V Joshi Microsoft (United States) Redmond, WA, USA

ISBN 978-3-030-26621-9 ISBN 978-3-030-26622-6 (eBook) https://doi.org/10.1007/978-3-030-26622-6 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

To everyone who believes in human intelligence to be mature enough to coexist with machine intelligence and be benefitted and entertained by it. . .

Foreword

I first got exposed to computing about 35 years back. It was the time when the term “microcomputers” was being replaced by the term “personal computers (PC).” Within a space of 5 years, there was this seismic shift that happened during which computing as a superspecialized domain with a total of only a few thousand people across the world working with these magical machines in cooled clean rooms suddenly became readily accessible to hundreds of millions. It dawned on everyone that computing was going to impact every aspect of business and eventually personal lives too. With that came the scramble to learn computing—whether it be about the basics of what a computer is or how to use applications like word processing or spreadsheets or engineers in every part of the world swarming to learn computer architectures and programming, algorithms, and data structures. If you were not learning any of those to some level of competency, you were heavily disadvantaged in your professions—regardless of the profession. Fast forward 15 years to about 1995. PCs had evolved and become powerful and had taken over business computing with client-server architectu