Categories: AI/ML Research

Understanding Probability Distributions for Machine Learning with Python

In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty of information and data, applying optimization processes with stochastic settings, and performing inference processes, to name a few.

Uncertainty in Machine Learning: Probability & Noise

Editor’s note: This article is a part of our series on visualizing the foundations of machine learning.

January 15, 2026

In "AI/ML Research"

Building a Logistic Regression Classifier in PyTorch

Logistic regression is a type of regression that predicts the probability of an event. It is used for classification problems and has many applications in the fields of machine learning, artificial intelligence, and data mining. The formula of logistic regression is to apply a sigmoid function to the output of…

March 29, 2023

In "AI/ML Research"

Automating Data Cleaning Processes with Pandas

Few data science projects are exempt from the necessity of cleaning data. Data cleaning encompasses the initial steps of preparing data. Its specific purpose is that only the relevant and useful information underlying the data is retained, be it for its posterior analysis, to use as inputs to an AI…

September 14, 2024

In "AI/ML Research"

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