Learn how bootstrapping works in machine learning, especially ensemble methods, and how it’s different from cross-validation.
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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
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- Machine Learning (15)
- Math and Logic (6)
- Deep Learning (5)
- Programming (4)
- Computer Vision (3)
- Methodology (1)
- Data Science (1)
Why Does the L1 Norm Enforce Sparsity in Models?
Filed under Machine Learning
Learn why the L1-norm tends to force sparsity in models, for example, when used in gradient descent regularization.
What is Orthogonalization in Machine Learning?
Filed under Machine Learning, Math and Logic
Explore how the concept of orthogonalization can be used in machine learning.
How to Invert PCA?
Filed under Math and Logic
Learn to reverse PCA and reconstruct the original data as closely as possible.
A Geometric Interpretation of Cramer’s Rule
Filed under Math and Logic
Explore a geometric intepretation of Cramer’s rule.
What Is Proportion of Variance?
Filed under Machine Learning
Learn how to use the proportion of variance to choose the number of components in PCA.
What Is a Digital Twin?
Filed under Methodology
Learn about digital twins, models that allow simulation for real-world processes, objects, and places in real time.
How to Use the Learning Rate Warm-up in TensorFlow With Keras?
Filed under Machine Learning
Explore different strategies of defining the learning rate in order to warm up the training stage.
How to Calculate Signal-To-Noise Ratio?
Filed under Math and Logic
Learn the definition of SNR and review examples of how to calculate and interpret the SNR in different scenarios.