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Common mistakes in Machine Learning system development - Valerii Babushkin

Outline:

• Machine Learning sysem design
• Common pitfalls in the design process
• Doing the design right

About the speaker:

Valerii works at Blockchain.com as a head of Data science. Before that he worked in Facebook as the WhatApp User Data Privacy Tech Lead, at Alibaba Russia as the VP of Machine Learning and at X5 Retail Group as a Senior Director of Data Science. Also, Valerii is a Kaggle competition Grand Master, ranked globally in the top 30.

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We talked about:

Valerii’s background Who goes through an ML system design interview System design VS ML System design Preparing for ML system design interviews Machine learning project checklist The importance of defining a goal and ways of measuring it What to do after you set a goal Typical components of an ML system Applying ML systems to real-world problems System design and coding in interviews for new graduates Humans in the validation of model performance

Links:

Valerii's telegram channel (in Russian): t.me/cryptovalerii

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