Table of Contents

CHAPTER 1: Getting Started: Software and Hardware Needed.- CHAPTER 2: Overview of IoT and IIoT.- CHAPTER 3: Using Machine Learning with IoT and IIoT in Python.- CHAPTER 4: Using Machine Learning and IoT in Telecom, Energy, and Agriculture.- CHAPTER 5: Preparing for the Case Studies.- CHAPTER 6: Configuring IIoT Energy Meter.- CHAPTER 7: Telecom Industry Case Study: Solving the Problem of Call Drops with IoT.- CHAPTER 8: Energy Industry Case Study: Predictive Maintenance for an Industrial Machine.- CHAPTER 9: Agriculture Industry Case Study: Predicting a Cash Crop Yield. 

About the Author

Puneet Mathur is an author, AI consultant, and speaker who has over 20 years of corporate IT industry experience. He has risen from being a programmer to a third line manager working with multinationals such as HP, IBM, and Dell at various levels. For several years he has been working as an AI consultant through his company Boolbrite International for clients around the globe, by guiding and mentoring client teams stuck with AI and machine learning problems. He also conducts leadership and motivational workshops, and AI-based hands-on corporate workshops. His latest bestselling book, Machine Learning Applications using Python (Apress, 2018), is for machine learning professionals who want to advance their career by gaining experiential knowledge from an AI expert. His other books include The Predictive Program Manager, Prediction Secrets, and Good Money Bad Money.