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useful-resources-for-a.i.'s Introduction

Useful-Resources-for-A.I.

Fundemental mathematical concepts

Eigenvalues

https://medium.com/fintechexplained/what-are-eigenvalues-and-eigenvectors-a-must-know-concept-for-machine-learning-80d0fd330e47

Machine learning

Useful resources

https://www.youtube.com/watch?v=yDLKJtOVx5c&list=PLD0F06AA0D2E8FFBA

Classificiation and decision theory

When our target is no longer continulous but instead belongs to a set of descrete values, we have do define desicion regions to classify our input. We can divide our input space R in dimension D into K desicion regions.

Classication theory

Desciriminative vs Generative models

https://medium.com/@jordi299/about-generative-and-discriminative-models-d8958b67ad32 https://stackoverflow.com/questions/879432/what-is-the-difference-between-a-generative-and-a-discriminative-algorithm

Gradient decent

https://www.youtube.com/watch?v=IHZwWFHWa-w&t=475s https://medium.com/mindorks/an-introduction-to-gradient-descent-7b0c6d9e49f6

Newton raphson gradient descent

https://www.youtube.com/watch?v=28BMpgxn_Ec

Unsupervised learning

Gaussian mixture models and k-means

https://towardsdatascience.com/gaussian-mixture-models-explained-6986aaf5a95

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