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 (9)
- Deep Learning (4)
- Algorithms (3)
- Core Concepts (2)
- Artificial Intelligence (2)
- Searching (1)
- Math and Logic (1)
- Graph Traversal (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.

### Beam Search Algorithm

Filed under Graph Traversal

Learn about the Beam Search algorithm.

### Hill Climbing Search vs. Best First Search

Filed under Searching

Explore the Hill Climbing and Best First Search (BeFS) algorithms and compare their characteristics.

### An Overview of Evolutionary Algorithms

Filed under Algorithms

Learn about the evolutionary algorithms that have performed well compared to other techniques in artificial intelligence.

### NLP’s word2vec: Negative Sampling Explained

Filed under Artificial Intelligence

Explore the Skip-gram model for training word vectors and learn about how negative sampling is used for this purpose.

### Using a Hard Margin vs. Soft Margin in SVM

Filed under Deep Learning, Machine Learning

Learn about the difference between using a hard margin and a soft margin in SVM.

### Instance vs Batch Normalization

Filed under Deep Learning, Machine Learning

Learn the difference between Instance and Batch normalization

### Difference between Big-O and Little-o Notations

Filed under Algorithms, Core Concepts

Understand how the big-O and little-o notations differ and what it means to be asymptotically tight.

### What Is a Heuristic Function?

Filed under Algorithms, Core Concepts

Learn about heuristic functions, their benefits and pitfalls, and some of the examples where we can use them.