A key part of the scientific method is communicating the insights to an audience, for any field of research or problem context. This is where the ultimate value comes from: by sharing the cutting-edge results that can improve our understanding ...

Culture is a key enabler of innovation in an organisation. Culture underpins the values that are important to people and the motivations for their behaviours. When these values and behaviours align with the goals of innovation, it can lead to h...

Do you have multiple devices connected to your internet fighting for your bandwidth? Are you asking your children (or even neighbours!) to get off the network so you can finish an important call? Recent lockdowns caused huge network contention ...

Do you ever find yourself wondering what the data was you used in a project? When was it obtained and where is it stored? Or even just the way to run a piece of code that produced a previous output and needs to be revisited?Chances are ...

Are people resistant to change? And if so, how do you manage that when trying to introduce and deliver innovation through Data Science?In this episode of the DataCafé we discuss the challenges faced when trying to land a data scienc...

Data scientists usually have to write code to prototype software, be it to preprocess and clean data, engineer features, build a model, or deploy a codebase into a production environment or other use case. The evolution of a codebase is importa...

We explore one of the key issues around Deep Learning Neural Networks - how can you prove that your neural network will perform correctly? Especially if the neural network in question is at the heart of a mission-critical application, such as m...

The grey, green and yellow squares taking over social media in the last few weeks is an example of the fascinating field of study known as Game Theory.  In this bite episode of DataCafé we talk casually about Wordle - the internet phenomen...

Looks like we might be about to have a new Series of DataCafé!Recording date: 15 Feb 2022Intro music by Music 4 Video Library (Patreon supporter)

Data Science in a commercial setting should be a no-brainer, right? Firstly, data is becoming ubiquitous, with gigabytes being generated and collected every second. And secondly, there are new and more powerful data science tools and algorithms...

What's the difference between a commercial data science project and a Data Science project for social benefit? Often so-called Data Science for Good projects involve a throwing together of many people from different backgrounds under a common m...

The scientific method consists of systematic observation, measurement, and experiment, and the formulation, testing, and modification of hypotheses. But what does this mean in the context of Data Science, where a wealth of unstructured data and...

On 30 July 2020 NASA launched the Mars 2020 mission from Earth carrying a rover called Perseverance, and rotorcraft called Ingenuity, to land on and study Mars. The mission so far has been a resounding success, touching down in Jezero Crater on...

Welcome to the first DataCafé Bite: a bite-size episode where Jason and Jeremy drop-in for a quick chat about a relevant or newsworthy topic from the world of Data Science. In this episode, we discuss how to hire a great Data Scientist, ...

In this episode we talk about all things Bayesian. What is Bayesian inference and why is it the cornerstone of Data Science?Bayesian statistics embodies the Data Scientist and their role in the data modelling process. A Data Scientist s...

Have you ever come home from the supermarket to discover one of the apples you bought is rotten? It's likely your trust for that grocer was diminished, or you might stop buying that particular brand of apples altogether. In this episode...

As we look ahead to a new year, and reflect on the last, we consider how data science can be used to optimise the future. But to what degree can we trust past experiences and observations, essentially relying on historical data to predict the f...

What exciting data science problems emerge when you try to forecast an election? Many, it turns out!We're very excited to turn our DataCafé lens on the current Presidential race in the US as an exemplar of statistical modelling right no...

What are solar storms? How are they caused? And how can we use data science to forecast them?In this episode of DataCafé we talk about the Sun and how it drives space weather, and the efforts to forecast solar radiation storms that can ...

How do you get your latest and greatest data science tool to make an impact? How can you avoid wasting time building a supposedly great data product only to see it fall flat on launch?In this episode, we discuss how you need to start wi...

What is a virus? How can we spot human viruses in danger of becoming pandemics? How can we use statistics to understand their origins and transmission? This turns out to be a hard problem - not least because there can be many hundreds or...

How can we spot a change in a jet engine vibration that might mean it’s about to fail catastrophically? How can a service forecast adapt to unexpected changes brought about by a pandemic? How might we spot an increase in rate of change of pollu...

Optimal Control is the science of making decisions in a way that optimises a key quantity such as revenue, customer satisfaction, or quality of service. Cake exampleBertrand has a cake. He likes cake a lot b...

How can we generate efficient routes for a large fleets of vehicles that have to make many thousands of deliveries a day while taking into account breaks, shift patterns and traffic conditions? Now let's make those vehicles electric and we need...

How do big grocery retailers maintain product availability for their customers day after day while minimising food wastage and storage costs? The answer is Inventory Optimisation, the science of maintaining sufficient stock levels of a s...