Deep Learning: Key Concepts and Recent Advances
The Deep Learning (DL) paradigm represents one of the most advanced spheres within the field of Artificial Intelligence (AI). This...
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Cross-Validation and Model Selection in Machine Learning
Machine learning (ML) has become a core discipline within the field of artificial intelligence, providing mathematical models and algorithms capable...
Federated Learning: Training Models on Distributed Data
Federated Learning emerges as a promising solution to the challenges of privacy and scalability inherent to training machine learning models....
Feature Engineering: Methods and Best Practices
Feature engineering is a fundamental pillar in the construction of effective machine learning models. In the race to achieve peak...
Introduction to Machine Learning: Basic Concepts and Terminology
Machine learning (ML), a groundbreaking subdivision of artificial intelligence (AI), relies on algorithms and statistical models to endow machines with...
