All videos
Opera view

Big O in a Retailer’s Big Data

In situations where 1% optimisation improvement might be worth millions - algorithm tuning, parallelisation, cloud benchmarking, etc - might turn out to be just the things that count. Grzegorz Gawron and Tomasz Lichoń will walk you through some cases where software engineering (computer science?) goes hand in hand with data science. All based on VirtusLab's real-world projects.

Tags

Data Big Data

About the speakers

Grzegorz Gawron

Grzegorz Gawron

Head of Data Science at VirtusLab
Grzegorz Gawron is a lead software engineer/manager with interests in advanced analytics and a taste for theory (that makes him a computer scientist surely!). He…
Read more
fallback image

Tomasz Lichoń

Big Data Engineer at VirtusLab
Tomasz Lichoń is big data engineer and team leader at VirtusLab, in where he’s involved in building data lake and data processing pipelines using Hadoop…
Read more

Other videos that you might like

Big O in a Retailer’s Big Data
Data
Reproducible Machine Learning
Matthew Opala
fallback image
Data
From Spark MLlib model to learning system with Watson Machine Learning
Łukasz Ćmielowski
fallback image
Data
No More Cumbersomeness: Automatic Predictive Modeling on Apache Spark
Marcin Kulka
fallback image
Data
Recent advancements in NLP and deep learning: a quant’s perspective
Umit Mert Cakmak
All videos