How to boost Data Science routines with DataArt’s AutoML Platform by Vlad Bessmertnyy, Dmitry Baykov
As Data Scientists we see an emerging need for Routine Automation. While we know how to automate human actions - we do not automate Data Science much. Even different projects and domains usually require similar steps to start and build a model. With that in mind, DataArt’s Team created the DS/ML Platform which encapsulates and automates the different steps of the Data Science pipeline with Automated Feature Engineering, Model Selection, Model Deployment, keeping all of that available as a Code for Data Scientists and still keeping it a simple UI for Citizen Data Scientists.
On a webinar, you’ll have a chance to see a real Use Cases overview and the Platform Demo itself.
Speakers:
Vlad Bessmertnyy
Vlad enjoys Data Science, AI & ML, Clouds, Business Process Management, Project Management. He is a member of the AI Consulting Board and the Leader of the Financial AI in DataArt, advisor in technological startup Wantent. Vlad prefers combining the technical and managerial roles to learn and get better in both areas.
Dmitry Baykov
Dmitry is a Senior ML Engineer/Data Scientist in DataArt with 5+ years of professional expertise in IT. I’ve started my career from Engineering and for the last two years I took part in various AI/ML Finance and Healthcare projects. My main interests are AutoML, NLP, Product Management. In my free time, I’m teaching offline ML course, traveling, do running.
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