The rapid growth of billions of IoT connected devices encourages to train the machine for delivering desired output parameters. The relationship between internet of things, machine learning and artificial intelligence is demonstrated through many research and development of products and services. Dataset collected from IoT devices are now available for analysis and predicting future trends. One of the embodiments is to forecast weather based on the previous data collected. This talk will discuss and demonstrate the convergence of IoT connected devices such as temperature, humidity and connect to the machine learning model to predict readings for subsequent week/days. Practical application of python enabled ML linear regression implementations will be shown. Mathematical modeling and analyzing data using matplotlib and various python library function such as NumPy and Pandas will be exhibited exercising Jupyter notebooks and open source hardware (Raspberry Pi).

Shivakumar (Shiva) Mathapathi has over 25 years of experience in product development, design, and faculty. Shiva is a seasoned technologist, instructor and practitioner on the Internet of Things (IoT) with extensive experience as lead faculty, lab practice and mentorship in executing smart city, smart agriculture, assisted living and other IoT-related projects. Currently his teaching and research areas includes: Industrial IoT 4.0, Data Analytics using Python, and foundation course on Artificial Intelligence. He is invited speaker for several IoT conference and workshop. He has published numerous papers and articles. He is the Co-Editor of recent publication from Springer titled: Soft Computing for Intelligent Systems, June 2021 edition. He is also an adjunct faculty at Northeastern University and UC San Diego.