Anton Antonov
I am an applied mathematician (PhD) with 30+ years of experience in algorithm development, scientific computing, mathematical modeling, natural language processing, combinatorial optimization, research and development programming, machine learning, and data mining.
In the last 16 years, I focused on developing machine learning algorithms and workflows for different industries (entertainment, recruitment, healthcare, manufacturing, logistics.)
I am a former kernel developer of Mathematica.
Sessions
12-05
19:00
30min
Quantile Regression Workflows
Anton Antonov
This talk showcases and exemplifies the rapid specification and execution of Quantile Regression workflows. Various use cases are discussed, including fitting, outlier detection, conditional CDFs, and simulations, using different types of time series data.
Data/ Data Science Track
Data/ Data Science Track