This course will introduce various techniques to find similar words using the context of surrounding words, build a Language model to predict the next word and generate sentences, encode every word in the vocabulary of the corpus into a vector form that represents its context and similar words and encode a sentence for machine translation and conversation purposes.
The course will help learners to gather sufficient knowledge and proficiency in probabilistic, Artificial Neural Network (ANN) and deep learning techniques for NLP.
INTENDED AUDIENCE: Any interested learners
PER-REQUISITES: Essential – Algorithms, Python proficiency, elementary probability and statistics, Linear Algebra, basic understanding of machine learning
NOTE: Only English corpus is considered throughout this course.