Olek Janiszewski

[Olek Janiszewski @exviva]

we're hiring! https://t.co/9vZXT7VozC

[Olek Janiszewski @exviva]

@euruko do I need to somehow update the ticket with somebody else's name or will they be able to get in with my name on the ticket?

[Olek Janiszewski @exviva]

@euruko unfortunately I won't be able to make it to this year's Euruko :(. Does anyone want my ticket?

[Olek Janiszewski @exviva]

@nikolakenobi @euruko Cool, DM me for details

[Olek Janiszewski @exviva]

@mikecheverda hey Mike, still interested in that Euruko ticket?

[Olek Janiszewski @exviva]

@nickendell @euruko Hey Andi, I've got one if you're still interested

[Olek Janiszewski @exviva]

@nikita_bulai @euruko Hey Nikita, I've got one if you're still interested

[Olek Janiszewski @exviva]

@tdraganov @euruko Hey Teodor, I've got one if you're still interested

[Olek Janiszewski @exviva]

@leylakapi @euruko Hey Leyla, I've got one if you're still interested

[Olek Janiszewski @exviva]

@fabianrbz @euruko Hey Fabian, I've got one if you're still interested

[Olek Janiszewski @exviva]

@airatdev @euruko Hey Airat, I've got one if you're still interested

[Olek Janiszewski @exviva]

@giedriusr @euruko @panosktn @ragnarsoncom @geekass_eu @dimitris_baltas @travelplanet24 Possibly :)

[Olek Janiszewski @exviva]

How to take your Performance to the Next Level https://t.co/bX1cLZo6LJ

[Olek Janiszewski @exviva]

It’s not you. Phones are designed to be addicting. https://t.co/6IwhoBw8Nv that grayscale trick

[Olek Janiszewski @exviva]

Oh yeah! Fresh episode of #paironair where we use xgboost and Ruby to make multiple predictions in one call https://t.co/DXgGSsRKd8 /cc @hwartig

[Olek Janiszewski @exviva]

Found here https://t.co/E0FstXLoI4

[Olek Janiszewski @exviva]

https://t.co/fOkQ8GFGOr eye-opening way to beat stereotypes

[Olek Janiszewski @exviva]

Anything is possible - 2017, in 7 minutes https://t.co/yKbb4eU4Ld via @YouTube

[Caitlin Hudon @beeonaposy]

Data scientists: what's your team's approach to tracking the quality of models in production?

(How do you know if a model is decaying? How do you quality-check the data going into a model? Who builds and tracks these things?)