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

This book is for novice programmers who want to explore IoT, Python, and Machine Learning with Image Processing. It covers Raspberry Pi as IoT, Python Programming Language, Machine Learning, and Image Processing with hands-on examples and a collection of Python programs.

Format: Paperback / softback
Length: 158 pages
Publication date: 01 March 2022
Publisher: Taylor & Francis Ltd

Machine Learning, a rapidly evolving branch of Artificial Intelligence, is exerting a profound impact on society, industry, and academia. The adaptability of the Python programming language to Machine Learning has contributed to its growing popularity, further enhancing its appeal. Alongside this, the emergence of the Internet of Things (IoT) is generating significant interest and anticipation. The present book aims to provide a comprehensive exploration of IoT, Python, and Machine Learning, along with a brief introduction to Image Processing. Whether you are a novice programmer embarking on your journey into IoT or Machine Learning with Python, or you have already begun delving into these fields, this book is designed to cater to your needs.

Features:
1. Raspberry Pi as an IoT device: The book delves into the concept of Raspberry Pi as an IoT device, explaining its installation and configuration procedures. It serves as a foundational platform for exploring IoT applications.
2. Comprehensive Introduction to Python Programming: The book offers a thorough introduction to the Python programming language, covering its syntax, data types, functions, and libraries such as NumPy, Pandas, SciPy, and Matplotlib. Relevant examples are provided to reinforce the learning process.
3. Machine Learning with Python Scikit-Learn: Machine Learning is explained to the audience, with a particular emphasis on supervised learning and classification. Python Scikit-Learn, a popular library for Machine Learning, is introduced and its functionalities are explored through practical examples.
4. Image Processing on IoT: Image processing on IoT is introduced to those who are passionate about applying Machine Learning algorithms to images. The book provides insights into leveraging IoT devices for image capture, processing, and analysis.
5. Hands-on Approach: The book adopts a hands-on approach, offering a vast collection of Python programs that reinforce the concepts and techniques discussed throughout. These programs serve as practical examples and can be utilized by readers to further their understanding and expertise.

In conclusion, this book serves as a valuable resource for individuals seeking to delve into the world of IoT, Python, Machine Learning, and Image Processing. Whether you are a beginner or an experienced programmer, this comprehensive guide will provide you with the knowledge and tools necessary to excel in these rapidly advancing fields.

Weight: 256g
Dimension: 154 x 226 x 18 (mm)
ISBN-13: 9780367493738