Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
1st Edition
Published on 16. August 2020
166 pages
978-1-351-00665-1 (ISBN)
Description
Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT). The present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer or have just started exploring IoT or Machine Learning with Python, then this book is for you.
Features:
Raspberry Pi as IoT is described along with the procedure for installation and configuration.
A simple introduction to Python Programming Language along with its popular library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples.
Machine Learning along with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification.
Image processing on IoT is introduced to the audience who love to apply Machine Learning algorithms to Images
The book follows hands-on approach and provide a huge collection of Python programs.
Features:
Raspberry Pi as IoT is described along with the procedure for installation and configuration.
A simple introduction to Python Programming Language along with its popular library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples.
Machine Learning along with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification.
Image processing on IoT is introduced to the audience who love to apply Machine Learning algorithms to Images
The book follows hands-on approach and provide a huge collection of Python programs.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
8 Tables, black and white; 50 Illustrations, black and white
ISBN-13
978-1-351-00665-1 (9781351006651)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Shrirang Ambaji Kulkarni | Varadraj P. Gurupur | Steven L. Fernandes
Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
Book
03/2022
1st Edition
Chapman & Hall/CRC
€71.90
Shipment within 15-20 days
Shrirang Ambaji Kulkarni | Varadraj P. Gurupur | Steven L. Fernandes
Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi
Book
08/2020
1st Edition
CRC Press
€231.20
Shipment within 10-20 days
Persons
Dr. Shrirang Ambaji Kulkarni is a prolific learner, author and a faculty with over 18 plus years of experience in the field of Computer Science and Engineering. He is currently working as Associate. Professor at National Institute of Engineering in Department of Computer Science and Engineering, Mysore, India.
Dr. Steven Lawrence Fernandes is a high profile researcher in the field of Image Processing. He is currently working as Post-Doctoral Fellow at University of Central Florida in the Department of Computer Science and Engineering, Florida, USA.
Dr. Varadraj Gurpur is an eminent faculty and researcher in the field of Health Informatics.. He has authored many research articles in reputed journals. He is currently working as Associate. Professor at University of Central Florida in the Department of Health Informatics, Florida, USA.
Dr. Steven Lawrence Fernandes is a high profile researcher in the field of Image Processing. He is currently working as Post-Doctoral Fellow at University of Central Florida in the Department of Computer Science and Engineering, Florida, USA.
Dr. Varadraj Gurpur is an eminent faculty and researcher in the field of Health Informatics.. He has authored many research articles in reputed journals. He is currently working as Associate. Professor at University of Central Florida in the Department of Health Informatics, Florida, USA.
Content
1. Introduction to Raspberry Pi.
2. Raspberry Pi Unraveled
3. Python and its Libraries for Machine Learning
4. Machine Learning
5. Introduction to Image Processing
2. Raspberry Pi Unraveled
3. Python and its Libraries for Machine Learning
4. Machine Learning
5. Introduction to Image Processing
