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Machine Learning in Production: from model to real product

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We are launching a series of webinars with practicing experts from the Data Science and Machine Learning industry for students of the Data Science & ML program.

Industry experts will tell you:

- what do DS/ML engineers actually do in companies;

- what tasks do they solve;

- what models, technologies and tools are used in production;

- what skills and experience are needed to build a career in the DS/ML field.

This is a great opportunity to learn the practical side of the profession, ask experts questions and understand what working with data looks like in real projects.

,Webinar topic:
“Machine Learning in Production: from a model to a real product”

Let's look at the webinar:
 • how ML models move from notebook to production
 • architecture of ML systems in real companies
 • using Python, PyTorch, Docker, Kubernetes
 • MLOps basics: CI/CD, model monitoring, versioning
 • What skills are required by ML Engineer today
 • real-world cases of ML implementation in the industry

Invited Speaker:

➡️ Aidos Sarsembayev
Senior Machine Learning Engineer — Aiphoria Ltd. (Limassol)
Ph.D., Professor - Almaty Management University

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