IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python
Author:   Puneet Mathur
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484255483


Pages:   278
Publication Date:   10 May 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python


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Author:   Puneet Mathur
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.456kg
ISBN:  

9781484255483


ISBN 10:   1484255488
Pages:   278
Publication Date:   10 May 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

IoT Machine Learning Applications in Telecom, Energy, and Agriculture 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  

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Author Information

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.

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