Blog Archives

03 Oct 2022

Machine Learning for Risk Management in Financial Services

Please note that this session was NOT recorded. Risk and Compliance has been at the forefront of adopting machine learning techniques within Financial Services due to the large amounts of data available and experience using automated decision systems. In this talk, we survey three recent uses of machine learning at Barclays for risk management, and […]

03 Oct 2022

Causal Data Science in Retail

Causal Data Science in Retail by Behzad Bordbar & Dipankar Nath from M&S Understanding the supply chain, customer behaviour and effect of offer/promotion in a large retail organisation such as M&S is a non-trivial task. Identifying the causal impact of one set of actions on another is an essential task in decision-making. In M&S, we […]

30 Sep 2022

Data Science with SQL Server 2016 and R

One of the most notable additions to the Microsoft BI stack is the addition of Microsoft R Server inside SQL Server 2016. The inbuilt ScaleR packages deliver scalability and multithreading capabilities that open-source R can’t easily provide, opening up a world of possibilities for data scientists interested in machine learning and predictive analytics. But what […]

27 Sep 2022

Building a Fast Fuzzy Searcher and Spell Checker

Spelling is hard, really hard. It’s a an everyday user frustration to try to search for a friend’s name or the name of a restaurant that they heard but end up writing it wrong. In this talk, we cover how to implement in Python, a single fast algorithm that can recover from spelling errors, typing […]

27 Sep 2022

What’s changing in Deep Learning, as models and data sets get larger and more complex

The increasing need for larger models and memory to handle high definition video, large data sets, and complex models. Open sourced large model support, accelerated machine learning and where that expands what’s available today.

27 Sep 2022

How do Data Scientists accelerate their analytics journey from statistics to Machine Learning to AI

The current shortage of talent in Data Science has led to the creation of a plethora of courses and workshops, both online and in-person — but are we reaching the right audience, and giving them the right skills to close the talent gap? Starting from an overview of the current educational landscape, the talk explores […]

27 Sep 2022

Lessons learned from teaching Data Science

The current shortage of talent in Data Science has led to the creation of a plethora of courses and workshops, both online and in-person — but are we reaching the right audience, and giving them the right skills to close the talent gap? Starting from an overview of the current educational landscape, the talk explores […]

27 Sep 2022

Making Sense of Big Data File formats. Modern applications generate and manipulate a lot of data.

The growth rate of the data is staggering. Unfortunately, large datasets can be expensive to store at large scale and also slow to process. In fact, memory speed has been evolving at a much lower rate in comparison to CPUs. Thankfully, there are various file formats suited for big data systems to help. In this […]

27 Sep 2022

Automated Factcheckin

Factchecking is one solution to the multifaceted problems behind the catchall term ‘fake news’. Join Full Fact, the UK’s independent factchecking charity, to discuss how they plan to make factchecking dramatically more effective with technology that exists now, both here in the UK and beyond.