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Baeldung Author
Hristo Hristov
I am a professional Machine Learning Engineer with 5+ years of experience who loves Computer Science and Mathematics. Sharing my knowledge through articles is my way of giving back to others.
Here's what I've written (so far):
Baeldung on Computer Science
- All
- Math and Logic (4)
- Machine Learning (3)
- Trees (2)
- Artificial Intelligence (2)
- Algorithms (2)
- OS (1)
- Deep Learning (1)
- Data Structures (1)
- Computer Vision (1)
Graph Attention Networks
Filed under Machine Learning
Explore graph neural networks that use attention.
Quadtrees and Octrees
Filed under Algorithms, Trees
Learn more about Quadtrees and Octrees
Introduction to Optical Flow
Filed under Computer Vision
Learn about optical flow and its applications with a simplified example.
The Direct Linear Transform
Filed under Math and Logic
Learn how Direct Linear Transform works between different coordinate systems.
Attention Mechanism in the Transformers Model
Filed under Artificial Intelligence
Learn about the self-attention mechanism in the transformers architecture.
The Mahalanobis Distance
Filed under Math and Logic
Learn how to calculate the Mahalanobis Distance
Off-policy vs. On-policy Reinforcement Learning
Filed under Deep Learning, Machine Learning
Understand two different approaches for training a reinforcement learning agent: on-policy learning and off-policy learning.
The Call Stack
Filed under OS
Lear how stack memory works.
An Introduction to the Hidden Markov Model
Filed under Artificial Intelligence, Math and Logic
In this tutorial, we’ll look into the Hidden Markov Model, a type of statistical model.
An Introduction to the Voronoi Diagram
Filed under Algorithms
A guide to Voronoi diagrams, named after the famous Russian mathematician Georgy Voronoi.
Intuitive Explanation of the Expectation-Maximization (EM) Technique
Filed under Machine Learning, Math and Logic
Explore the Expectation-Maximization (EM) technique – a popular approach for estimating parameters of probabilistic models