2023/2024
Large Scale Machine Learning 2
Type:
Optional course (faculty)
Delivered by:
Big Data and Information Retrieval School
When:
1, 2 module
Online hours:
52
Open to:
students of one campus
Instructors:
Anatoly Bardukov
Language:
English
ECTS credits:
6
Contact hours:
10
Course Syllabus
Abstract
This course focuses on future of ML Engineering. It starts from big data problems and classic models appliance, introduces approaches for text (NLP) and other data types (images, etc), and in the end presents the field of ML operations. Final project requires you to show the full cycle of ML workflow including data collection, training and deployment.
To complete the course, students are supposed to have skills in classical algorithms and data structures, main concepts of machine learning, and Python programming.