- Kyiv School of Economics
- Private: Calendar
- Data Science UA Conference
Description
Productive networking and engineering insights. Over 500 participants and 20 speakers, 3 streams.
- Technology track
Building Architecture. Search for data and data cleaning. Model learning and validation. Experience of developers and engineers.
- Business track
Get new insights about the use of Data Science in business. Problems of forming teams and determining the effectiveness of such projects. Experience of investors, founders, and developers.
- Workshops track
2 workshops. An opportunity for a real case study in practice with a mentor.
- Panel Discussion ‘Exploring the black box’
ML algorithms become smarter, but the effectiveness and interpretation of models are often impossible to determine. Developers and business people will talk about AI and ‘black boxes’.
15% promocode: KSE15