The most dangerous demo ever (or how to perform real-time sentiment analysis on the audience messages)
Learn about streaming (vs batch), deploying ML models in real-time and automating MLOps in a data science project
Learn about streaming (vs batch), deploying ML models in real-time and automating MLOps in a data science project
In this session we will talk about what makes this not just any data science team, but an M&S data science team.
In this presentation, we will address these issues and discuss the A/B testing methodology that is used in Product Madness.
QA & Model Validation by Raluca Crisan You have wrangled your data, did some exploratory analysis, tested a few different model classes, and selected a model of choice, now what? Whether you work in a small team and you’ve asked someone to review your code, or in a larger team where you have tests set […]
This talk intends to give a brief overview of the key capabilities of Input-Checker
In this talk, I will take you on the journey ITV is taking to transform our approach to data as a business.
In this presentation I will go into details on what it took to build machines that automate or assist people in doing their jobs.
Mikel’s honest journey to becoming a Data Scientist, offering hints and tips for those new to the industry
Watch this session if you’re interested in finding out how ASOS is contributing to world leading research