top of page

Search


The Margin Makers
Support Vector Machines (SVMs) are powerful tools for classification and regression in machine learning. This article explores their geometric intuition, mathematical foundations, and use of kernels for handling non-linear data. It also covers Support Vector Regression (SVR), key applications across domains, strengths, limitations, and practical tips—offering a comprehensive, accessible guide to mastering margins.

Juan Manuel Ortiz de Zarate
Jul 89 min read


The Power of Convolutional Neural Networks
Convolutional Neural Networks have revolutionized artificial intelligence by enabling machines to process visual data with remarkable accuracy. Inspired by the visual cortex, CNNs evolved from early models like LeNet-5 to powerful architectures such as AlexNet, VGG, ResNet, and DenseNet. This article explores CNN core concepts, key innovations, real-world applications, and future trends, highlighting their enduring impact on AI.

Juan Manuel Ortiz de Zarate
Apr 2610 min read


Data Balancing With K-Means
A clustering-based method balances web-scraped datasets, improving AI model performance by ensuring diverse and uniform data representation.

Juan Manuel Ortiz de Zarate
Oct 4, 20249 min read


Harnessing the Power of Bagging in Ensemble Learning
Boost your model's accuracy with bagging! Learn how ensemble techniques can stabilize predictions and improve performance.

Juan Manuel Ortiz de Zarate
Aug 7, 202410 min read


The Fundamental Tool in Machine Learning: Decision Trees
Unlock the power of decision trees! Discover how this simple yet robust tool can revolutionize your data analysis.

Juan Manuel Ortiz de Zarate
Jul 26, 202411 min read


Introduction to Reinforcement Learning
Master the magic of reinforcement learning! See how AI learns to make decisions from scratch and optimizes actions.

Juan Manuel Ortiz de Zarate
Jun 7, 202410 min read


MLFlow + Hydra: A Framework for Experimentation with Python
In this article I share a experimentation framework I work with in my daily job. It uses MLFlow and Hydra to facilitate hypothesis testing.
Cristian Cardellino
May 23, 202410 min read


Tracking Multiple Experiments with Hydra
In this article we'll explore Hydra, a tool for managing multiple configuration parameters and file when doing machine learning for research
Cristian Cardellino
May 5, 202410 min read


Analyzing Discourse with Artificial Intelligence: What is Argumentation Mining?
Are political discourses consistent? Is a judgment fair? In this article, we'll explore argumentation mining, an AI field to analyze debates
Cristian Cardellino
Apr 21, 202410 min read


Practical Machine Learning for Industry
In this article I'll share with you some advice based on personal experience when doing practical machine learning for the industry.
Cristian Cardellino
Feb 22, 202411 min read


Keeping Track of Experiments with MLFlow
This article introduces MLFlow and shows you how this great tool can help you boost your productivity in an experimentation environment.
Cristian Cardellino
Feb 16, 202411 min read


Generative vs. Discriminative Models in Machine Learning
What are Generative Models? What are Discriminative Models? In this article we'll go through the fundamentals of each type of model.
Cristian Cardellino
Feb 7, 20249 min read
bottom of page