Glosasary

IoT Sensors:

• Network of physical devices that can collect data and send it over the internet.

Data Preprocessing:

• Also known as Data Sanitization, is cleaning and formatting of data to make it suitable for analysis.

Data Analysis:

• Process of inspecting, transforming, and modeling data to find trends to find useful information.

Data Visualization:

• Presentation of data in a graphical format.

Machine Learning:

• Subset of Artificial Intelligence that makes predictions on data.

Regression:

• Type of M.L. algorithm that makes predictions based off relationships between data points.

Reinforcement Learning:

• Type of M.L. algorithm that trains itself by interacting with an environment, and receives rewards or penalties based on its actions.

PyTorch:

• Machine learning framework (Python based).

Scikit-Learn:

• Machine Learning library for data analysis (Python based).