In short, machine learning algorithms are able to detect and learn from patterns in data and make their own predictions. In traditional programming, someone writes a series of instructions so that a computer can transform input data into a desired output. Instructions are mostly based on an IF-THEN structure: when certain conditions are met, the program executes a specific action. Machine learning, on the other hand, is an automated process that enables machines to solve problems and take actions based on past observations. Basically, the machine learning process includes these stages: Feed a machine learning algorithm examples of input data and a series of expected tags for that input.

This course is an Introduction to automated machine Learning libraries in python using google colab notebook.