BPB Online LLP
Up and Running Google AutoML and AI Platform
Up and Running Google AutoML and AI Platform
US$ 19.95
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Description
Contents
Reviews

Learn how to work towards making the most out of a career in emerging tech

Key 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 one’s ET career and successfully dealing with them.

It also helps bust myths, addresses fallacies, and common misconceptions that could harm one’s 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 learn
Through 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 for
This 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. Introduction
2. The best ET for me and some myth bursting
3. Getting prepared and charting a roadmap
4. Identifying the requirements and getting help
5. Dealing with headwinds and drawing a career change action plan
6. Building an ET friendly résumé and finding the right employer
7. Getting hired through social media
8. Job search
9. Impressing the emerging tech jury
10. The secret sauce
11. Becoming a thought leader
12. Measuring success and making course corrections
13. Drawing the two-year plan
14. Building your leadership capabilities
15. To start-up or not?
16. Communications skills: getting it right
17. Building a personal brand
18. Post-script

About 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 Subex’s IoT business to new geographies.

Your Linkedin profile: https://www.linkedin.com/in/prayukthkv/

Language
English
ISBN
9789388511926
Cover Page
Title Page
Copyright Page
Dedication Page
About the Authors
About the Reviewer
Acknowledgements
Preface
Errata
Table of Contents
1. Introduction to Artificial Intelligence
Structure
Objectives
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Applications of Machine Learning
Natural Language Processing
NLP algorithms
Conclusion
2. Introducing the Google Cloud Platform
Structure
Objectives
Introduction
AutoMLNatural Language
AutoML Text & Document Classification
AutoML Entity Extraction
AutoML Sentiment Analysis
AutoML Tables
AutoML Translation
AutoML Video Intelligence
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking
AutoML Vision
AutoML Vision Classification
AutoML Vision Object Detection
AI platform
TensorFlow
Eager Execution
Graph Execution
Estimators
Creation of GCP account
Creating a Google Cloud Storage bucket
Conclusion
3. AutoML Natural Language
Structure
Objectives
Issue Categorization System
Data Analysis
Model Training
Model Evaluation
Model Prediction
REST API configuration
For Windows server
For Linux server
Sentiment Analysis System
Data Analysis
Model Training
Model Evaluation
Model Prediction
REST API configuration
Conclusion
4. Google AI Platform
Structure
Objectives
Introduction
Design of an Issue Categorization system using Google’s AI platform
Data Analysis
Model Training
Using your local machine
Using AI platform
Model Prediction
REST API configuration
Conclusion
5. Google Data Analysis, Preparation, and Processing Services
Structure
Objectives
Introduction
Problem statement
Google BigQuery
Google Dataprep
Data Analysis
Google Dataproc
Model Training and Evaluation
Model Prediction
Conclusion
Index

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