Glance ML

• Regression VS Classification

ML
	Regression	Classification
	Linear Regression	Logistic Regression
Cost function	MSE	Cross Entropy

 

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Classification	Example	Function	Loss
Linear Regression			mse
Binary Classification	input : x output : yes or no	Sigmoid	nn.BCELoss()
Multi-class Classification	input : x or multiple x output : a or b or c...	Softmax	nn.CrossEntropyLoss()

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ML
Supervised Learning		Example
Training : x	Label : y(Answer)	Natural Language
Unsupervised Learning		Example
Training : x	No label	LSA, LDA
Self-Supervised Learning		Example
Training : x	No label-->create label	Word2Vec, BERT

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	Multiple Input
	Multiple Linear Regression	Multiple Logistic Regression
activation	linear	sigmoid
loss	mse	binary-crossentropy