MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01292nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240805132756.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240724b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781484255483 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
IIITD |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004.678 |
| Item number |
MAT-I |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mathur, Puneet |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
IoT machine learning applications in telecom, energy, and agriculture : |
| Remainder of title |
with raspberry Pi and arduino using python |
| Statement of responsibility, etc |
by Puneet Mathur |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
Apress, |
| Date of publication, distribution, etc |
©2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 278 p. : |
| Other physical details |
ill. ; |
| Dimensions |
20 cm. |
| 501 ## - WITH NOTE |
|---|
| With note |
Includes index and bibliographical references. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
CHAPTER 1: Getting Started: Software and Hardware Needed<br/> |
| -- |
CHAPTER 2: Overview of IoT and IIoT<br/> |
| -- |
CHAPTER 3: Using Machine Learning with IoT and IIoT in Python<br/> |
| -- |
CHAPTER 4: Using Machine Learning and IoT in Telecom, Energy, and Agriculture<br/> |
| -- |
CHAPTER 5: Preparing for the Case Studies<br/> |
| -- |
CHAPTER 6: Configuring IIoT Energy Meter<br/> |
| -- |
CHAPTER 7: Telecom Industry Case Study: Solving the Problem of Call Drops with IoT<br/> |
| -- |
CHAPTER 8: Energy Industry Case Study: Predictive Maintenance for an Industrial Machine<br/> |
| -- |
CHAPTER 9: Agriculture Industry Case Study: Predicting a Cash Crop Yield. . |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Programming & scripting languages: general |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Raspberry Pi |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
