Machine Learning

Understanding Kolmogorov–Arnold Networks (KAN)

Why KANs are a potential alternative to MPLs and the current landscape of Machine Learning. Let’s go through the paper to find out.Continue...

New Tech Courses That Have Just Landed

  Image by Author  We know the tech landscape is continuously advancing by the day. With this being said, the demand for tech professionals also...

Recap Structuring Machine Learning Projects specialization – George S

1.finding single number evaluation metric so to know if your idea works, the purpose is so you can quickly iterate experiements.2.recall, precission, F1...

How does temperature impact next token prediction in LLMs? | by Ankur Manikandan | May, 2024

IntroductionLarge Language Models (LLMs) are versatile generative models suited for a wide array of tasks. They can produce consistent, repeatable outputs or generate...

5 Free Stanford AI Courses

 Image generated with ideogram.ai  We are in an era where Artificial Intelligence has been applied in many businesses and brings many values from AI...

Machine Learning Challenges — 2 — Reproducibility | by Emre Koçyiğit | May, 2024

In the previous article, I introduced and discussed the first common Machine Learning (ML) challenge, “Data Quality”. Now, let’s proceed to another common...

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