IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python /: with Raspberry Pi and Arduino using Python. (2020)
- Record Type:
- Book
- Title:
- IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python /: with Raspberry Pi and Arduino using Python. (2020)
- Main Title:
- IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python
- Further Information:
- Note: Puneet Mathur.
- Other Names:
- Mathur, Puneet
- 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.
- Publisher Details:
- United States : Apress
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 004.67/8
Internet of things
Machine learning
Internet of things
Machine learning
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9781484255490
1484255496 - Related ISBNs:
- 1484255488
9781484255483 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.506436
- Ingest File:
- 03_082.xml