Explore how to calculate the average of a set of circular data.
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Baeldung Author
Gabriele De Luca
Gabriele specializes in artificial intelligence and innovation and on the impact of technology on society. He has authored several scientific papers in the sectors of machine learning, natural language processing, network theory, and multi-agent simulations. On Baeldung he contributes to the section on computer science, where he publishes articles on the theory behind machine learning and artificial intelligence.
Here's what I've written (so far):
Baeldung on Computer Science
- All
- Machine Learning (18)
- Math and Logic (16)
- Artificial Intelligence (13)
- Deep Learning (11)
- Algorithms (9)
- Programming (6)
- Latex (5)
- Graphs (3)
- Security (2)
- Data Structures (2)
- Data Science (2)
- Sorting (1)
- OS (1)
- Networking (1)
- Graph Theory (1)
- Core Concepts (1)
- Computer Vision (1)
Is a Markov Chain the Same as a Finite State Machine?
Filed under Artificial Intelligence
Explore the differences and the similarities between finite-state machines and Markov chains.
Differences Between Strong-AI and Weak-AI
Filed under Artificial Intelligence, Math and Logic
Explore the differences between strong-AI and weak-AI.
Basic Concepts of Machine Learning
Filed under Machine Learning
Explore the basic concepts of machine learning.
What Is Selection Bias and How Can We Prevent It?
Filed under Artificial Intelligence, Math and Logic
Explore the methods for preventing selection bias when we conduct statistical analysis.
Feature Selection and Reduction for Text Classification
Filed under Deep Learning, Machine Learning
Explore the most common techniques for feature selection and reduction for text classification.
An Algorithm for Inflating and Deflating Polygons
Filed under Algorithms, Math and Logic
Explore how to inflate or deflate a polygon utilizing homothety and offsetting.
State Machines: Components, Representations, Applications
Filed under Deep Learning, Machine Learning
Explore the components, representations, and applications of finite-state machines.
Trade-offs Between Accuracy and the Number of Support Vectors in SVMs
Filed under Deep Learning, Machine Learning
Explore the relationship between the number of support vectors and the performances of a support vector classifier.