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The Dawn of Transparency: Unveiling the Power of Explainable AI (XAI)
Artificial Intelligence (AI) has been making leaps and bounds in revolutionizing industries across the globe—from predicting customer...
vazquezgz
Oct 23, 20246 min read
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KNN vs XGBoost: Understanding the Key Differences and When to Use Each Algorithm
In machine learning, selecting the right algorithm can make all the difference in achieving accurate predictions and avoiding common...
vazquezgz
Oct 14, 20245 min read
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Advancements in neural networks: A Journey Through the Last Five Years
Neural networks (NNs) have become the backbone of modern artificial intelligence (AI), shaping advancements in fields like image...
vazquezgz
Sep 29, 20244 min read
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The Rise of Explainable AI: Understanding the Path Forward
In the rapidly evolving landscape of artificial intelligence, the complexity of models has grown exponentially, giving rise to...
vazquezgz
Aug 21, 20243 min read
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Navigating the Bias-Variance Trade-off: Striking the Perfect Balance in Machine Learning
In the realm of machine learning, one of the most critical aspects to understand is the bias-variance trade-off. This concept serves as a...
vazquezgz
Aug 15, 20245 min read
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Fact or Fiction: The Strengths and Struggles of Fact Retrieval in Large Language Models
Large Language Models (LLMs) have revolutionized the field of natural language processing, particularly in tasks involving fact...
vazquezgz
Jun 30, 20243 min read
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Introduction to Active Learning in Machine Learning
Active learning is a subset of machine learning where the algorithm selectively chooses the data from which it learns. Unlike traditional...
vazquezgz
May 21, 20244 min read
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Mastering Machine Learning: The Power of Ensemble Models
In the ever-evolving landscape of machine learning, creating robust, accurate, and reliable models is both a science and an art. Despite...
vazquezgz
May 20, 20244 min read
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Kolmogorov-Arnold Network (KAN): A Revolutionary Approach in Machine Learning
In the ever-evolving landscape of machine learning, new paradigms often emerge, promising to redefine the boundaries of what's possible....
vazquezgz
May 19, 20244 min read
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Understanding Decision Trees in Supervised Learning
Decision trees are a powerful and widely used machine learning algorithm that falls under the category of supervised learning. They are...
vazquezgz
Oct 15, 20238 min read
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Reinforcement Learning with Asynchronous Advantage Actor-Critic (A3C) Method
Source: Google Research / AI generated painting of a castle with trees and swirls. Reinforcement learning is a subfield of artificial...
vazquezgz
Oct 15, 20234 min read
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Reinforcement Learning with Deep Deterministic Policy Gradients (DDPG)
Reinforcement Learning (RL) is a field of artificial intelligence that focuses on training agents to make sequential decisions in order...
vazquezgz
Oct 15, 20235 min read
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Reinforcement Learning with the Actor-Critic Method: A Comprehensive Guide
Reinforcement learning (RL) is a subfield of machine learning where an agent learns to make sequential decisions through interaction with...
vazquezgz
Oct 15, 20235 min read
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Unlocking the Power of Policy Gradient a RL method
Reinforcement Learning (RL) is a branch of machine learning where agents learn to make sequential decisions by interacting with an...
vazquezgz
Oct 8, 20238 min read
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Reinforcement Learning with Deep Q-Networks (DQNs)
Reinforcement learning is a subfield of machine learning that focuses on training agents to make sequential decisions in an environment...
vazquezgz
Oct 8, 20234 min read
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Reinforcement Learning with Q-Learning: Theory and Practice
Reinforcement learning is a branch of machine learning that focuses on training agents to make sequential decisions in an environment to...
vazquezgz
Oct 8, 20235 min read
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