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Understanding and Preventing Overfitting in XGBoost
In the world of machine learning, XGBoost stands out due to its effectiveness in handling a wide range of predictive modeling tasks....
vazquezgz
May 10, 20244 min read
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The Paper that Revolutionized Machine Learning: Harnessing the Power of Attention with the Transformer
In 2017, a groundbreaking paper titled "Attention is All You Need" authored by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob...
vazquezgz
May 4, 20242 min read
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The Future of Artificial Intelligence: Exploring New Frontiers and Addressing Key Challenges
As we delve into the future of artificial intelligence (AI) in 2024, the landscape is rapidly evolving with significant advancements and...
vazquezgz
May 4, 20243 min read
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Unveiling the Mysteries of AI: A Deep Dive into 2023's Landmark XAI Paper in Information Fusion
In the evolving field of Explainable Artificial Intelligence (XAI), a significant contribution was made in 2023 with a comprehensive...
vazquezgz
May 1, 20244 min read
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Introduction to Phi-3-mini
Introduce the Phi-3-mini as the latest addition to Microsoft's Phi-3 series of AI models (23th April 2024), emphasizing its compatibility...
vazquezgz
Apr 27, 20242 min read
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Emerging Frontiers in AI: The Rise of Collective Intelligence
In a groundbreaking perspective paper published on March 22, 2024, in Nature Machine Intelligence, experts from Loughborough University,...
vazquezgz
Apr 25, 20243 min read
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Energizing the Edge: Delta Electronics' Innovative Power Solutions for Rapid IoT Deployments
In the swiftly evolving landscape of the Internet of Things (IoT), the demand for robust and rapid deployment of data processing...
vazquezgz
Apr 25, 20242 min read
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Revolutionizing Detection: How MIA is Transforming Breast Cancer Diagnostics
In the ever-evolving field of healthcare technology, Mammography Intelligent Assessment (MIA) stands out as a pioneering tool in the...
vazquezgz
Apr 25, 20242 min read
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Unveiling the Depths: Exploring the Power of Deep Convolutional Neural Networks
In the realm of artificial intelligence, few innovations have garnered as much attention and acclaim as deep convolutional neural...
vazquezgz
Apr 24, 20243 min read
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Tong Tong: Growing Up in Code - First AI toddler.
In a groundbreaking achievement by the Beijing Institute of General Artificial Intelligence (BIGAI), the creation of Tong Tong, the first...
vazquezgz
Apr 13, 20242 min read
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Tackling the Challenges of Machine Learning's Alignment Problem
In the realm of artificial intelligence (AI), the alignment problem stands as a pivotal challenge. At its core, the alignment problem...
vazquezgz
Mar 17, 20243 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
25 views
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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
16 views
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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
29 views
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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
9 views
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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
3 views
0 comments
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
3 views
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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
3 views
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Introduction to Reinforcement Learning Methods
Reinforcement Learning (RL) is a subfield of machine learning where agents learn to make sequences of decisions by interacting with an...
vazquezgz
Oct 8, 20233 min read
2 views
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Mastering Dimensionality Reduction: A Deep Dive into PCA
PCA (Principal Component Analysis) is a fundamental dimensionality reduction technique widely used in machine learning and data analysis....
vazquezgz
Oct 4, 20235 min read
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