Learn what it means when we say that random variables are independent and identically distributed and why this isn’t always easy to check.
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Baeldung Author
Saulo Barreto
Currently, I'm a PhD student at the Université de Lorraine, France, in which I'm working on tensor-based approaches for polarization. However, I'm also keen on delving into various subjects within the realm of AI, spanning from Generalization Theory to practical applications in Computer Vision, as well as any real advancements that contribute to the progression of the field.
Here's what I've written (so far):
Baeldung on Computer Science
- All
- Machine Learning (15)
- Math and Logic (6)
- Deep Learning (5)
- Programming (4)
- Computer Vision (3)
- Methodology (1)
- Data Science (1)
Open Source Explained
Filed under Programming
Learn about the open-source movement.
What Is Singular Value Decomposition?
Filed under Math and Logic
Explore the relevance of and how to compute an SVD of a matrix.
Statistics: Correlation vs. Regression
Filed under Data Science
Learn the difference between correlation and regression, two statistical techniques we use to analyze the relationship between variables.
What Is the No Free Lunch Theorem?
Filed under Machine Learning
Learn about the No Free Lunch Theorem.
Differences Between Computer Vision and Image Processing
Filed under Computer Vision
Explore the differences between computer vision and image processing.
What Are Image Histograms?
Filed under Computer Vision
Learn what image histograms are and when to use them.
Instance Segmentation vs. Semantic Segmentation
Filed under Computer Vision, Deep Learning
Explore semantic and instance segmentation.
Data Augmentation
Filed under Deep Learning, Machine Learning
Explore data augmentation techniques.