Learn how self-organizing maps (SOMs) work.
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Baeldung Author
Akbar Karimi
I'm a PhD candidate at the University of Parma, Italy. I've been doing research in machine learning since 2014, focusing mainly on NLP models and applications. Besides doing research, I like learning languages.
Here's what I've written (so far):
Baeldung on Computer Science
- All
- Machine Learning (10)
- Deep Learning (4)
- Algorithms (3)
- Core Concepts (2)
- Searching (1)
- Math and Logic (1)
- Graph Traversal (1)
- Artificial Intelligence (1)
What Does PAC Learning Theory Really Mean?
Filed under Machine Learning
Learn what PAC (probably approximately correct) means.
Differences Between Hinge Loss and Logistic Loss
Filed under Machine Learning
Explore the hinge and logistic loss functions.
Hidden Markov Models vs. Conditional Random Fields
Filed under Artificial Intelligence
Explore the differences between Hidden Markov Models and Conditional Random Fields.
Recurrent vs. Recursive Neural Networks in Natural Language Processing
Filed under Deep Learning, Machine Learning
Explore the difference between the recurrent and recursive neural networks in natural language processing.
What Is Inductive Bias in Machine Learning?
Filed under Deep Learning, Machine Learning
Learn about the two types of inductive biases in traditional machine learning and deep learning.
Bayesian Networks
Filed under Machine Learning
Learn about the Bayesian Networks (BNs).
How to Get Vector for A Sentence From Word2vec of Tokens
Filed under Machine Learning
Explore vector representations of sentences using token representations.
Fastest Algorithm to Find Prime Numbers
Filed under Math and Logic
Explore some of the fastest algorithms that we can use to generate prime numbers up to a given number.