May 15, 2020

MACHINE LEARNING

1. 1959 - Arthur Samuel - “The field of study that gives computers the ability to learn without being explicitly programmed.”

2. We want the program itself to learn the rules that describe our data the best, by finding patterns in what we know and applying those patterns to what we don’t know.

3. Machine Learning can be branched out in the following categories:

   1. Supervised Learning

   2. Unsupervised Learning

4. Supervised Learning is where the data is labeled and the program learns to predict the output from the input data.

5. Supervised Learning can be grouped into regression and classification problems.

   1. Regression is trying to predict a continuous-valued output.

      1. What is the housing price in New York?

      2. What is the value of crypto currencies?

   2. Classification is trying to predict a discrete # of values.

      1. Is this a picture of a human or of a dog?

      2. Is this email SPAM?