Optimizing Taxi ETA: Deep Learning for Eta Prediction in NYC
Have you ever wondered how technology can revolutionize the way we predict the time of arrival for taxis? Imagine a future where...
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- Jun 14
- 5 min
Diving into Kolmogorov-Arnold Networks (KANs)
In this blog post, we will dive deep into the recently published work called "KAN: Kolmogorov–Arnold Networks" and compare them to the...
- May 29
- 4 min
Concept Drift in Machine Learning: Model Drift and Adaptation (Part III)
Now that we have a better understanding of concept drifts and drift detection mechanisms from part I and II blog posts, lets move on to...
- May 21
- 5 min
Concept Drift in Machine Learning: Drift Detection Mechanisms (Part II)
In this follow-up blogpost, we will continue investigating the topic of concept drifts. In particular, we will dive into drift detection...
- May 16
- 4 min
Concept Drift in Machine Learning (Part I)
Philosopher Heraclitus once said, "Everything flows, nothing stands still" (τὰ πάντα ῥεῖ καὶ οὐδὲν μένει). This idea rings true in...
- May 4
- 6 min
Deep Learning for Outlier Detection
Discover the power of deep learning for outlier detection in fraud prevention. Uncover how autoencoders effectively identify anomalies in fi
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