Explore the advantages of ANNs against SVMs, and vice versa.
Also find me here:
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)
Graph Auto-Layout Algorithm
Filed under Programming
Explore the principles behind the layout of graphs in drawings.
Draw a Chart Using LaTeX
Filed under Latex
Learn how to draw basic charts in LaTeX.
Draw a Graph Using LaTeX
Filed under Latex
Learn how to draw graphs using LaTeX.
Generating Dependency Graphs With Text
Filed under Latex, Programming
Learn about the tools that we can use to generate dependency graphs.
Graphs: Sparse vs Dense
Filed under Data Structures, Graphs
Explore the definition of density in a graph in relation to its size, order, and the maximum number of edges.
Neural Network Architecture: Criteria for Choosing the Number and Size of Hidden Layers
Filed under Deep Learning, Machine Learning
Explore methods for identifying the correct size and number of hidden layers in a neural network.
What’s the Difference Between a Word and a Byte?
Filed under Programming
Learn the characteristics of words and bytes and discussed their different relationships with memory and processors.
Training Data for Sentiment Analysis
Filed under Deep Learning, Machine Learning
Learn the basics of the methodology for sentiment analysis and explore public datasets for supervised sentiment analysis.