Introduction to the course

Expected learning outcomes of the course

• You are familiar with the main subfields of natural language processing (NLP) and speech processing
• You understand the ideas behind the main NLP methods
• You can select and apply a suitable method to solve a new NLP task efficiently
• You understand the concepts behind the main speech processing tasks

• Statistics, probability theory
• Linear algebra
• Algorithms as data structures
• Programming in Python (tutorial: http://cs231n.github.io/python-numpy-tutorial/)
• Knowing some machine learning is a plus
• Linux highly recommended for some tasks (tutorial: https://ryanstutorials.net/linuxtutorial/)