Explore the difference between the recurrent and recursive neural networks in natural language processing.
I'm a PhD candidate at the University of Parma, Italy. I've been doing research in machine learning since 2014, focusing mainly on NLP models and applications. Besides doing research, I like learning languages.
Here's what I've written (so far):
Learn about the two types of inductive biases in traditional machine learning and deep learning.
Learn about the Bayesian Networks (BNs).
Explore vector representations of sentences using token representations.
Explore some of the fastest algorithms that we can use to generate prime numbers up to a given number.
Learn about the Beam Search algorithm.
Explore the Hill Climbing and Best First Search (BeFS) algorithms and compare their characteristics.
Learn about the evolutionary algorithms that have performed well compared to other techniques in artificial intelligence.
Explore the Skip-gram model for training word vectors and learn about how negative sampling is used for this purpose.
Learn about the difference between using a hard margin and a soft margin in SVM.