5 Key Challenges in Achieving Fairness in AI: Exploring the Ethical Implications of Machine Learning
Fairness in AI is a critical topic gaining traction outside the machine-learning community. As we keep developing algorithms that make...
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Sep 38 min read
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...
Jun 145 min read
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 294 min read
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 215 min read
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 164 min read
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 46 min read
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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