Demystifying Machine Learning

Important terms used in Lesson 1:

• Program $f(x)$
• Input $x$
• Output $y$
• Tasks
• Model or Hypothesis $h(x)$
• Algorithm
• Goal or Objective
• Training dataset and Test dataset
• Evaluation
• Evaluation metric or measure