Learn about novelty, concept and data drifts.
Also find me here:
Baeldung Author
A. Aylin Tokuç
I’m a Computer Scientist/Researcher, specialized in machine learning and data science. I have 15 years of professional work experience. Currently I develop freelance projects to help businesses automate and optimize their decision-making processes. I'm also pursuing a Ph.D. degree.
Here's what I've written (so far):
Baeldung on Computer Science
- All
- Machine Learning (12)
- Deep Learning (4)
- Networking (3)
- Math and Logic (3)
- Sorting (1)
- Security (1)
- Concurrency (1)
Outlier Detection and Handling
Filed under Deep Learning, Machine Learning
Learn about outliers in datasets and why they are important.
Underfitting and Overfitting in Machine Learning
Filed under Machine Learning
Explore overfitting and underfitting in machine learning.
OSI Model: Packets vs. Frames
Filed under Networking
Explore the differences between packets and frames from the OSI model.
Spinlock vs. Semaphore
Filed under Concurrency
Learn the difference between a spinlock and a semaphore.
IPv4 Datagram
Filed under Networking
Understand the IPv4 datagram in detail.
Algorithms to Generate K-Combinations
Filed under Networking, Security
In this tutorial, we’ll learn about different algorithms to generate all k element subsets of a set containing n elements.
k-Nearest Neighbors and High Dimensional Data
Filed under Deep Learning, Machine Learning
Explore the the k-NN algorithm in detail.
Value Iteration vs. Policy Iteration in Reinforcement Learning
Filed under Deep Learning, Machine Learning
Explore two algorithms to find an optimal policy for an Markov Decision Process.