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mPyPl: Python Monadic Pipeline Library for Complex Functional Data Processing
- Programming / Tools
- Data Science, Big Data
- Accepted
November 14, 15:45
Room II|II зал
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Discuss the presentation
We present a library for complex functional data processing in Python called mPyPl (Monadic Pipeline Library). We discuss the motivation, main principles, as well as real-world cases of using the library in complex machine learning tasks of event detection in videos.
Dmitri Soshnikov
Senior Software Engineer, Microsoft
Dmitri has been working in Microsoft for 13 years, originally as Technical Evangelist, and lately as a Software Engineer in Commercial Software Engineering team, where he has helped many customers accross the workd to use AI/ML technologies to improve their business. His main expertise is AI and Computer Vision, and also Functional Programming. He teaches courses on AI and Functional Programming at MIPT, HSE and MAI.
