"Wunda Machine learning" Learning note--2.1 single variable linear regression algorithm

1 reviews
1.1 Supervised learning
Definition: Machine learning algorithm for given correct answer
Classification:
(1) Regression algorithm: Predicting the output of successive values, such as the prediction of house prices
(2) Classification algorithm: The output of discrete values, such as determining whether the disease is a certain type of cancer
1.2 Non-supervised learning
Definition: The relationship between data is analyzed without the information of the given data.
Clustering algorithm: Divides data points with similar attributes in the dataset into one class.

2 single-Variable linear regression algorithm
2.1 Symbol Definition
m = Number of training samples
x = input Variable
y = output variable
2.2 Working methods
The training set generates linear regression functions by learning algorithms hypothesis hθ (x) =θ0 +θ1x

"Wunda Machine learning" Learning note--2.1 single variable linear regression algorithm