Learn about the Beam Search algorithm.
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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)
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 Machine Learning
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.