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IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python
IoT Machine Learning Applications in Telecom, Energy, and Agriculture
CHAPTER 1: Getting 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 Solving the Problem of Call Drops with IoT CHAPTER 8: Energy Industry Case Predictive Maintenance for an Industrial Machine CHAPTER 9: Agriculture Industry Case Predicting a Cash Crop Yield
CHAPTER 1: Getting 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 Solving the Problem of Call Drops with IoT CHAPTER 8: Energy Industry Case Predictive Maintenance for an Industrial Machine CHAPTER 9: Agriculture Industry Case Predicting a Cash Crop Yield
296 pages, Paperback
Published May 16, 2020
4 people want to read
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