IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python
| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046063308 | |
| 005 | 20210112102052 | |
| 008 | 210111s2020 xxua 001 0 eng d | |
| 020 | ▼a 9781484255483 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 004.67/8 ▼2 23 |
| 084 | ▼a 004.678 ▼2 DDCK | |
| 090 | ▼a 004.678 ▼b M432i | |
| 100 | 1 | ▼a Mathur, Puneet. |
| 245 | 1 0 | ▼a IoT machine learning applications in telecom, energy, and agriculture : ▼b with Raspberry Pi and Arduino using Python / ▼c Puneet Mathur. |
| 260 | ▼a [United States] : ▼b Apress, ▼c 2020. | |
| 300 | ▼a xv, 278 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a Includes index. | |
| 650 | 0 | ▼a Internet of things. |
| 650 | 0 | ▼a Machine learning. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 004.678 M432i | 등록번호 121256048 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
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