[1. Why Machine Learning Matters](https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12)
[2.1: Supervised Learning](https://medium.com/machine-learning-for-humans/supervised-learning-740383a2feab)
Supervised learning identifies patterns in data and learns heuristics by running labeled training data through an algorithim (or a bunch of them). Then we can use it to estimate the values/classifications of unlabelled data.
Regression methods are used to predict numbers, for example given age, sex, weight, etc etc estimate the height of a person.
- Simple linear regression works for smaller data, and gradient descent for larger
Be wary of underfitting and overfitting:
[2.2 Supervised Learning II](https://medium.com/@v_maini/supervised-learning-2-5c1c23f3560d)
Predict what something is using logistic regression or SVM, for example what kind of fruit.
- Logistic regression applies a sigmoid function after a linear regression to output a probability b/w 0 and 1.