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image Machine Learning, Neural Networks, Learning image, Logical…

- - - - Hypothesis function
        
        Gradient descent (\alpha)
        
        (alpha) learning rate
        
        to large
        
        to small
        
        derivtive
        
        multy variables
        recretions
        
        scaling and normalization
        
        Normal Equation (L_4)
      - minimize J
        
        si cerca di minimmizzare l'errore
      - loss functions
        
        A loss function/error function is for a single training example/input. A cost function, on the other hand, is the average loss over the entire training dataset.
- - - - BFGS
      - L-BFGS
      - Conjugate gradient
- - - - separale due possibilita
        
        linear
        
        non linear
      - hypothesis properly