# Categorymath

math for data science

## Common Loss functions and their uses – quick note Machines learn by means of a loss function which reflects how well a specific model performs with the given data. If predictions deviate too much from actual results, loss function would yield a very large value. Gradually, with $$optimization$$ function, parameters are modified accordingly to reduce the error in prediction. In this article, we will quickly review some common loss functions and...

## Math for ML – Vector norms quick note Vector norms are used in many machine learning and computer science problems. This article covers some common norms and related applications. From a high school entrance exam… Remember the day (?/?/1998) when I took an exam to a high school, there was a problem of finding the shortest path from A to B knowing that the person can only go left/right or up/down given the following grid of m x...

## Math for ML – Linear dependence & Linear Equation Continue with math for machine learning, this article will give a quick note on definition of linear dependence and demonstration with python. math for machine learning Linear Dependence In the theory of vector spaces, a set of vectors is said to be linearly dependent if at least one of the vectors in the set can be defined as a linear combination of...

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