Alejandro Flores

Alejandro Flores

Ph.D. in Cheminformatics; Machine Learning; Data Visualization

Softmax simply explained

less than 1 minute read

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Cost Function

2 minute read

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Definition

In machine learning (ML), a cost function (also called a loss function) is a measure of how well the model’s predictions match the actual outcomes or targets. The cost function gives a numerical value, the cost or loss that quantifies the error (or “cost”) between the predicted values and the true values The goal of training a machine learning model is to minimize this cost function by adjusting the model’s parameters.

Recurrent Neural Networks

4 minute read

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In this post we will review the very basics of Recurrent Neural Networks. What are they, the math behind it and how they can be used.

Cross entropy

5 minute read

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What is Cross-Entropy?

Cross-entropy is one of many possible cost function that we might consider choosing for our model and is typically used in Categorical Classification. This means, a model that aims to predict whether our input data is one in a finite size possible classes.

Likelihood Function simply explained

5 minute read

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It represents the probability of observing the given data, given a particular set of parameter values. It plays a crucial role in Bayes