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Navin Sabharwal - Up and Running Google AutoML and AI Platform: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment

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Learn how to work towards making the most out of a career in emerging techKey Features
  • Understand the core concepts related to careers in emerging tech.
  • Learn innovative, exclusive, and exciting ways to design a successful career in ET.
  • Reduce your learning curve by examining the career trajectories of eminent ET professionals.
  • Ways to evolve and adapt to changing ET paradigms.
  • Practical perspective from the field.
  • Description Cracking the emerging tech code will help you attain your Emerging Technology (ET) career goals faster without spending years in committing avoidable mistakes, recovering from them, and learning things the hard way. You can apply practical tips in areas such as improving your ability to craft market-friendly use cases and evolving a solution approach in new and diverse tech or business environments, to propel forward your career in strategic and proactive ways.It outlines ways in which you can explore and capitalize on hidden opportunities while working on important career aspects. The anecdotes and solutions provided will aid you in getting an inside out view to reduce your learning curve. This book will help you in gaining both magnitude and direction in your ET career journey and prevent you from getting overwhelmed or pinned down by the forces of ET.Authored by an ET professional, this book will take you through a series of steps to deepen your understanding of the forces that shape ones ET career and successfully dealing with them.It also helps bust myths, addresses fallacies, and common misconceptions that could harm ones career prospects. There are also practical and easy-to-adopt tips, methods, tracking mechanisms, and information that will improve career standing and professional growth.This book makes it easy for you to enhance your employability and job market relevance so that you can sprint towards a rewarding career.What will you learnThrough this book, you will connect with ways and means to build a strong and rewarding emerging tech career. You will be able to work on identifying the right technology and employer, enhancing employability and differentiation in the job market, addressing challenges and connecting with enablers, accurate growth strategies and execution principles.Who this book is forThis book is for current and aspiring emerging tech professionals, students, and anyone who wishes to understand ways to have a fulfilling career in emerging technologies such as AI, blockchain, cybersecurity, IoT, space tech, and more. Table of Contents 1. Introduction2. The best ET for me and some myth bursting3. Getting prepared and charting a roadmap4. Identifying the requirements and getting help5. Dealing with headwinds and drawing a career change action plan6. Building an ET friendly rsum and finding the right employer7. Getting hired through social media8. Job search9. Impressing the emerging tech jury10. The secret sauce11. Becoming a thought leader12. Measuring success and making course corrections13. Drawing the two-year plan14. Building your leadership capabilities15. To start-up or not?16. Communications skills: getting it right17. Building a personal brand18. Post-scriptAbout the Authors Prayukth has been actively involved in productizing and promoting cross eco-system collaboration in the IoT space for over half-a-decade. In recent years, he has focused on exposing APT groups, global footprint, and in evaluating the evolving threat landscape surrounding IoT and OT environments. In his current role, he has taken Subexs IoT business to new geographies. Your Linkedin profile: https://www.linkedin.com/in/prayukthkv/

    Navin Sabharwal: author's other books


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    Up and Running Google AutoML and AI Platform Building Machine - photo 1
    Up and Running
    Google AutoML
    and
    AI Platform
    Building Machine Learning and NLP Models Using AutoML and AI Platform for - photo 2
    Building Machine Learning and
    NLP Models Using AutoML and
    AI Platform for Production Environment
    Up and Running Google AutoML and AI Platform Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment - image 3
    Navin Sabharwal
    Amit Agrawal
    Up and Running Google AutoML and AI Platform Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment - image 4
    www.bpbonline.com
    FIRST EDITION 2021
    Copyright BPB Publications, India
    ISBN: 978-93-88511-926
    All Rights Reserved. No part of this publication may be reproduced, distributed or transmitted in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication, photocopy, recording, or by any electronic and mechanical means.
    LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY
    The information contained in this book is true to correct and the best of authors and publishers knowledge. The author has made every effort to ensure the accuracy of these publications, but publisher cannot be held responsible for any loss or damage arising from any information in this book.
    All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.
    Distributors:
    BPB PUBLICATIONS
    20, Ansari Road, Darya Ganj
    New Delhi-110002
    Ph: 23254990/23254991
    MICRO MEDIA
    Shop No. 5, Mahendra Chambers,
    DN Rd. Next to Capital Cinema,
    V.T. (C.S.T.) Station, MUMBAI-400
    Ph: 22078296/22078297
    DECCAN AGENCIES
    4-3-329, Bank Street,
    Hyderabad-500195
    Ph: 24756967/24756400
    BPB BOOK CENTRE
    Old Lajpat Rai Market,
    Delhi-110006
    Ph: 23861747
    Published by Manish Jain for BPB Publications Ansari Road Darya Ganj New - photo 5
    Published by Manish Jain for BPB Publications, Ansari Road, Darya Ganj, New Delhi-110002 and Printed by him at Repro India Ltd, Mumbai
    www.bpbonline.com
    Dedicated to
    The people I love and the God I trust.
    Navin Sabharwal
    My family and friends.
    Amit Agrawal
    About the Authors
    Navin Sabharwal is an Innovator, Thought Leader, Author and Consultant in areas of AI and Machine Learning, Cloud Computing, Big Data Analytics, Software Product Development, Engineering, and R&D. He has authored books on technologies such as GCP, AWS, Azure, AI and Machine learning systems, IBM Watson, chef, GKE, Containers, and Microservices He is reachable at
    Amit Agrawal holds a master degree in Computer Science & Engineering from MNNIT (Motilal Nehru National Institute of Technology, Allahabad), one of the premier institutes of Engineering in India. He is working as a principal Data Scientist and researcher delivering solutions in the fields of AI and Machine Learning. He is responsible for designing an end-to-end solutions and an architecture for enterprise products. He is reachable at
    About the Reviewer
    Riya Naval is a Senior Data Scientist practicing the latest AI Technologies. She is responsible for designing, developing, and delivering end-to-end solutions based on AI. She is reachable at
    Acknowledgements
    To my family, Shweta and Soumil, for being always there by my side, for letting me sacrifice your time for my intellectual and spiritual pursuits, and for taking care of everything while I was immersed in authoring this book. This and other accomplishments of my life wouldnt have been possible without your love and support. To my mom and my sister for the love and support as always; without your blessings, nothing is possible.
    To my coauthor, Amit, thank you for the hard work and quick turnarounds you took to deliver this book. It was an enriching experience, and I look forward to working with you again soon. To Ayush and Pallavi for making this publication happen.
    To all my team members who have been a source of inspiration with their hard work, their ever-engaging technical conversations, and their technical depth. Your always flowing ideas are a source of happiness and excitement every single day. To Piyush Pandey, Sarvesh Pandey, Amit Agrawal, Vasand Kumar, Punith Krishnamurthy, Sandeep Sharma, Amit Dwivedi, Gaurav Bhardwaj, Nitin Narotra, Shakuntala, Divjot, and Vivek, thank you, for being there and making technology a fun.
    To all my other coauthors, colleagues, managers, mentors, and guides, in this world of billion, it was a coincidence that brought us together, but it has been an enriching experience to be associated with you and learn from you. All the ideas and paths are an assimilation of conversations that I have had and experiences that I have shared. Thank you.
    Navin
    To my parents, brothers, and wife, Riya, for being always an inspiration for me.
    To my coauthor, Navin, thank you for your guidance and feedback.
    To my colleagues, Ayush Agarwal and Pallavi Aggarwal, thank you for your technical support.
    Amit
    Thank you, goddess Saraswati, for guiding me to the path of knowledge and spirituality.
    Asato Ma Sad Gamaya, Tamaso Ma JyotirGamaya, Mrityor Ma AmritamGamaya
    Lead us from ignorance to truth, lead us from darkness to light, lead us from Illusion to Reality
    Preface
    Google AutoML and AI Platform are power tools offered by Google Compute Platform for developers to create a compelling AI and Machine Learning applications with ease. Machine learning and deep-learning models are getting mature and accurate with a large amount of data that is being used into these models every day. With easier availability of out of the box functionality on a cloud platform, more and more developers are shifting their focus on developing analytics and machine learning based applications on the cloud platforms.
    Googles AI technologies are continuously learning through enormous amounts of data such as Wikipedia Articles for QuestionAnswering Systems, Text Classification Systems, and so on.
    The trickiest parts of developing and testing machine learning models and selecting the best ones that work in a particular use case are simplified by GCP for the developer community.
    With the advent of Googles Architecture search algorithms that enable AutoML to automatically search and find the best model for your dataset, it is possible for a developer to design AI systems by providing an abstraction over data scientist activities such as Data Analysis, Model Identification, Training, Evaluation, and so on.
    Google AutoML is one of the services from Google Cloud Platform that makes it easy for the developers to design and build machine learning models and use them across various applications. As an example, Text Classification can be used for Intent identification while designing conversation systems.
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