The process of taking data into an algorithm or model to detect patters in order to predict future outcomes
Example of normal algorithm vs machine learning algorithm
normal algorithm will get the ingredients and instructions to create the output
machine learning algorithms get the ingredients and the output, so it has to figure out what happened in between
Data analysis: analyzes and visualizes the data in order to find patterns and understand it better
Data science: running experiments to find actionable findings
Exercise: what is machine learning in your own words?
Machine learning is a word used to describe the process in which computers take in data and analyze it to derive meaningful patterns out of them using different models and algorithms.