Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

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A01=Shrirang Ambaji Kulkarni
A01=Steven L. Fernandes
A01=Varadraj P. Gurupur
academic programming projects
Author_Shrirang Ambaji Kulkarni
Author_Steven L. Fernandes
Author_Varadraj P. Gurupur
Canny Edge Detection
Category=UMX
classification
clustering
CSV File
Data Sets
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
GPIO Pin
hands-on IoT machine learning projects
HDMI
HDMI Port
Health Informatics
image processing
Import Numpy
Industrial IoT
IoT Application
IoT Device
neural networks
NumPy Array
NumPy Pandas SciPy Matplotlib
Peripheral Devices
programming
Python
Python data analysis
Python List
Python Program
Random Forest
Raspberry Pi
Reduced Instruction Set Computers
RISC
Roc Curve
Scikit-Learn applications
sensor data classification
Single Dimensional Array
Smart Phones
Splitting Data Sets
supervised learning techniques
SVM

Product details

  • ISBN 9780367493738
  • Weight: 260g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Mar 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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