Learn about the training, validation, and testing aspects of neural networks
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Baeldung Author
baeldung
This is the standard author on the site. Most articles are published by individual authors, with their own profiles, but when multiple people have a strong contribution, we publish collectively here.
Here's what I've written (so far):
Baeldung on Computer Science
- All
- Machine Learning (45)
- Algorithms (41)
- Networking (40)
- Programming (36)
- Math and Logic (30)
- OS (19)
- Computer Vision (19)
- Artificial Intelligence (19)
- Deep Learning (16)
- Trees (15)
- Data Structures (15)
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- Latex (13)
- Software Architecture (11)
- Core Concepts (10)
- Graphs (8)
- Searching (6)
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- Data Science (4)
- Path Finding (3)
- Graph Theory (3)
- Concurrency (1)
Q-Learning vs. SARSA
Filed under Machine Learning
An overview of the Q-learning and SARSA algorithms.
Differences Between SGD and Backpropagation
Filed under Machine Learning
Learn about the differences between Backpropagation (BP) and Stochastic Gradient Descent (SGD).
Master Theorem for Asymptotic Analysis
Filed under Math and Logic
Explore the Master Theorem to compute the runtime of the algorithm.
N-Tier Architecture
Filed under Software Architecture
Learn why n-tier architects are essential in software design
The Importance of Central Limit Theorem
Filed under Math and Logic
Learn about Central Limit Theorem and why it’s useful.
Moth Flame Optimization
Filed under Algorithms
Explore the Moth Flame Optimization algorithm.
Why Are Floating Point Numbers Inaccurate?
Filed under Math and Logic
Learn how floating-point numbers are represented in a computer and what limitations they have.
Fundamentals of Sandboxing
Filed under OS
Explore the different concepts and architectures used to sandbox applications.