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ML: Neural Network and Deep learning

2 minute read

Written:

Machine Learning: An article explores neural network/. The goal of a feedforward network is to approximate some functionf∗. For example,for a classifier,y=f∗(x) maps an inputxto a categoryy. A feedforward networkdefines a mappingy=f(x;θ) and learns the value of the parametersθthat resultin the best function approximation.

ML: Gradient Descent

less than 1 minute read

Written:

Machine Learning: An article explores gradient descent.

ML: Support Vector Machine

less than 1 minute read

Written:

Machine Learning: An article explores support vector machine.

DS: Trees

6 minute read

Written:

Data Structure: A review article on some concept of trees. *This is a series of articles on basic data structures*

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