🦊 Первая пачка докладов с конференции MLREPA 2021!!!🦊

Доклады на английском 🇺🇸. Первый трек — менеджерский, второй инженерный. Доклады выложили на отдельном англоязычном канале для простоты нерусскоязычных слушателей.

MANAGEMENT TRACK

✅ What is the Maturity Model in Data science?
Yuliya Rubtsova
https://youtu.be/rO-FI2F2mCw

✅ AI development process: Common mistakes
Kseniia Melnikova
https://youtu.be/jd_Jtlfhdnw

✅ The 3 components your “Agile AI” product development stack should include
Ashley Beattie
https://youtu.be/_iNOX_0QtR0

✅ Structuring machine learning projects
Yerzat Marat , Knowtions Research, Project manager
https://youtu.be/DpWXJVMTKZI

ENGINEERING TRACK

✅ DVC: data versioning and ML experiments on top of Git
Dmitry Petrov, Creator of DVC, Co-founder & CEO @ Iterative.ai
https://youtu.be/OD2KiIOMeMw

✅ Eliminate technical debt with iterative ML pipelines
Hamza Tahir, ZenML, Co-creator
https://youtu.be/KFQen9diu-Y

✅ How to create your MLOps environment following best practices
MOHAMED SABRI, Data Science and MLOps specialist
https://youtu.be/BuuaQOMMM60

✅ Moving from prototype to production
Alexander Mokryak, ML Engineer @ Exness
https://youtu.be/PrUKbn2tpsk

✅ Reducing the distance between Prototyping and Production
Soumanta Das
https://youtu.be/4PEbgQTw1W0

✅ Building ML Pipelines with Dagster: The role of the orchestrator in machine learning
Sandy Ryza
https://youtu.be/Ik2rAKROVbI

✅ Workflow & MLOps for batch scoring applications with DVC, MLflow and Airflow
Mikhail Rozhkov
https://youtu.be/PYzvLc7o7u0