DataCafé

Jason & Jeremy
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DataCafé Podcast

Welcome to the DataCafé: a special-interest Data Science podcast with Dr Jason Byrne and Dr Jeremy Bradley, interviewing leading data science researchers and domain experts in all things business, stats, maths, science and tech.

  1. 02/06/2023

    Science Communication with physicist Laurie Winkless, author of "Sticky" & "Science and the City"

    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 of the world and help deliver new innovations in people's lives. Effective science communication sits at the intersection of data, research, and the art of storytelling.In this episode of the DataCafé we have the pleasure of welcoming Laurie Winkless, a...

    37 min

  2. 06/09/2022

    A Culture of Innovation

    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 high performance across teams that are tasked with the challenge of leading, inspiring and delivering innovation. Many scientists and researchers are faced with these challenges in various scenarios, yet may be unaware of the level of influence that come...

    34 min

  3. 30/07/2022

    Scaling the Internet

    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 as everyone moved to online meetings and virtual classrooms. This is an optimisation challenge that requires advanced modelling and simulation to tackle. How can a network provider know how much bandwidth to provision to a town or a city to cope with pe...

    45 min
  4. [Bite] Documenting Data Science Projects

    29/06/2022

    [Bite] Documenting Data Science Projects

    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 the answer is yes. And it’s likely you have been frustrated by not knowing how to reproduce an output or rerun a codebase or even who to talk to to obtain a refresh of the data - in some way, shape, or form. The problem that a lot of project teams face, an...

    17 min

  5. 31/05/2022

    Landing Data Science Projects: The Art of Change Management & Implementation

    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 science project. There are a number of potential barriers to success that need to be carefully managed. We talk about "change management" and aspects of employee behaviours and stakeholder management that influence the chances of landing a project. This is especially imp...

    30 min
  6. [Bite] Version Control for Data Scientists

    05/05/2022

    [Bite] Version Control for Data Scientists

    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 important for a number of reasons which is where version control can help, such as:collaborating with other code developers (due diligence in coordination and delegation)generating backupsrecording versionstracking changesexperimenting and testingand working w...

    16 min

  7. 07/04/2022

    Deep Learning Neural Networks: Building Trust and Breaking Bias

    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 making a real-time control decision in an autonomous car. Similarly, how can you establish if you've trained your neural network at the heart of a loan decision agent with a prebuilt bias? How can you be sure that your black box is going to adapt t...

    51 min
  8. [Bite] Wordle: Winning against the algorithm

    14/03/2022

    [Bite] Wordle: Winning against the algorithm

    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 phenomenon currently challenging players to guess a new five letter word each day. Six guesses inform players what letters they have gotten right and if they are in the right place. It’s a lovely example of the different ways people approach game strategy throu...

    11 min
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About

Welcome to the DataCafé: a special-interest Data Science podcast with Dr Jason Byrne and Dr Jeremy Bradley, interviewing leading data science researchers and domain experts in all things business, stats, maths, science and tech.

Information

  • Creator
    Jason & Jeremy
  • Years Active
    2020 - 2023
  • Episodes
    26
  • Rating
    Clean
  • Copyright
    © 2024 DataCafé
  • Show Website
    DataCafé

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