How to accelerate Classical Machine Learning on Intel® Architecture
In this session you will learn how to maximize the performance of machine learning algorithms on Intel® Architecture with optimization libraries for popular Python frameworks. Get practical insights and explore real-world use cases during demo for achieving exceptional speedup in classical ML applications with only few lines of code.
Vladimir Kilyazov is AI Software Solutions Engineer at Intel with notable experience in different domains, including Computer Vision and Speech Processing. Vladimir is awardee of many ML contests and hackathons including Intel OpenVINO Hackathon, IDR&D Anti-Spoofing Challenge, Junction Hackathon.
