All Projects → girafe-ai → Ml Mipt

girafe-ai / Ml Mipt

Licence: mit
Open Machine Learning course at MIPT

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python
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Machine Learning at MIPT

This course aims to introduce students to modern state of Machine Learning and Artificial Intelligence. It is designed to take one year (two terms at MIPT) - approximately 2 * 15 lectures and seminars.

All learning materials are available here, full list of topics considered in the course are listed in program_*.pdf files

Organizational information about current launches available at ml-mipt.github.io

Repository structure

  • on master branch previous term materials are stored to give a quick and comprehensive overview
  • on basic and advanced branches materials for current launches are being published
  • tags (e.g. spring_2019) contain previous launches materials for convenience

Video lectures

All lecture materials are currently in Russian language

Prerequisites

We are expecting our students to have a basic knowlege of:

  • calculus, especially matrix calculus, differentiation
  • linear algebra
  • probability theory and statistics
  • programming, especially on Python

Although if you don't have any of this, you could substitude it with your diligence because the course provides additional materials to study requirements yourself.

Materials for self-study

A lot of great materials are available online. See extra_materials.md file for the whole list.

Informal "aggregation" of all topics by previous years students: file (in Russian) - useful for fast and furious exam passing.

Also lectures and seminars contains references to more detailed materials on topics.

Docker image

Using docker for tasks evaluation is a good idea, prebuilt image is under cunstruction.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].