Introduction to Iot with Machine Learning and Image Processing Using Raspberry Pi

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.

About the Authors

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. 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.