Natural Language Processing

• basic knowledge of programing in Python
• high school level of mathematics
• Basics of machine learning on the level of our course Introduction to  machine Learning

• Introduction to natural language processing
• Chapters from computational linguistics (corpus, tokenization, morphological, syntactic and semantic analysis, entropy, perplexity)
• Text document vectorization (bag of words, one-hot encoding, TF-IDF)
• Practical taks on text classification
• Word embedding (word2vec, GloVe)
• Introduction to language modelling (n-gram models, smoothing, neural network based language models)
• Practical task on language modelling (implementation of a language detection algorithm based on language models)
• Neural network based text generator

Previous courses

Python I - introduction to programming [PYTHON_INTRO]

Introduction to Machine Learning [MLC_INTRO]