In the last decade or so, there has been a growing number of applications of machine learning in domains that have a significant and direct impact on human life. In these domains, it is common to find that machine learning models end up learning societal biases and…
In this post, we discuss a new state-of-the-art algorithm for neural architecture search.
Arxiv paper:https://arxiv.org/abs/1910.11858
Source code:https://www.github.com/naszilla/bananas
Image source…
I. Rules and progression to machine learning including probabilistic modeling (Naïve Bayes and Conditional Random Fields)
The field of Natural Language processing has come a long way thanks to the contributions of many people in its advancement. To fully appreciate…