Northernlands: Data and Startup Summit / 2 May
ODI Leeds

Upcoming events

ODI Leeds host a variety of events throughout the year including workshops and hackday innovation events. You can also hire our innovation spaces for your own events, meet-ups and more. All our upcoming events are below, but you can also see them on Google Calendar, on Eventbrite, or subscribe to our iCal, or subscribe to our mailing list. We want everyone to be happy at our events and have an experience free of harassment so please read our code of conduct. ODI HQ also host free, weekly, lunchtime lectures that you can watch online.

April

  • Diversity & Data at ODI Leeds

    Date: -

    We'd like to invite you to an afternoon working session to look at the data related to diversity in our organisations, and consider how we can publish, use, and share this data to support all of our work around diversity and equality. This session has been inspired and driven by Yorkshire Water and our sponsors, who are advocates for open data and open innovation.

    Publishing more data about diversity and pay gaps is the start - identify the gaps, challenge the methods, explore the solutions.

    Location: ODI Leeds - 3rd Floor - Duke Street - LS9 8AG Leeds - United King

    Closed for co-working

    Register on Eventbrite
  • ODI Training - Applying Machine Learning Techniques to Data

    Date: -

    The course takes a practical approach to understand the key machine learning techniques, how they can be applied and what implications each has. Best of all, you don't need to know how to code, the entire course is done with pens, paper and your brains!

    At the ODI, we believe that fostering AI innovation requires an open approach that includes open data, open source code and open culture. This is essential because algorithms in autonomous and machine learning systems need large quantities of high-quality data to perform well.

    Currently, most AI systems are generally provided as inscrutable 'black boxes' with no knowledge of their internal workings. This is problematic: such business model homogeneity can have a chilling effect on innovation and stall a thriving AI sector.

    The course takes a practical approach to understand the key machine learning techniques to help you understand what these black boxes might be doing, how they can be applied and what implications each has. During the course participants will be challenged to build their own machine learning algorithm for a set of real world data. This will test their application of statistical knowledge to examine the effects of different decisions on the outcome. By analysing a number of real world applications of machine learning participants will gain analytical skills to evaluate not just the benefits, but also the limitations of machine learning and AI on different types of data.

    Best of all, you don't need to know how to code, the entire course is done with pens, paper and your brains. A laptop might help you wrap your head around the data in your solutions to the various puzzles presented on the course.

    Is this course just for developers?
    No!

    This course is essential for anyone needing a theoretical understanding of the opportunities and limitations of using machine learning on data. This includes (but isn't limited to) project leaders, C-suite managers, statisticians, data analysts, data scientists and developers.

    What you will learn
    By the end of the course you will be able to:

    - Describing the key knowledge and skills to engage in machine learning, AI and ethics
    - Identify applications of machine learning
    - Examine shapes and trends in data
    - Apply a machine learning technique to real world data
    - Evaluate the risks of using machine learning without statistical knowledge
    - Analyse the limits of applications of machine learning data
    - Analyse the implications of using big data
    - Analyse the ethical risks of making automated decisions from data

    Registration cost - £150+VAT

    To book your ticket, email Kathryn at kathryn.connell@odileeds.org
    Room: The Huddle

    Location: ODI Leeds - 3rd Floor - Munro House - Duke Street - LS9 8AG Leeds

  • NHS Digital

    Date: -

    Room: The Gather, Huddle and Common

    Location: ODI Leeds - 3rd Floor - Munro House - Duke Street - LS9 8AG Leeds

  • Agile Stationary

    Date: -

    Private Meeting

    Room: The Huddle

    Location: ODI Leeds - 3rd Floor - Munro House - Duke Street - LS9 8AG Leeds

    Closed for co-working

  • Transport for the North

    Date: -

    Private Team Meeting
    Room: The Huddle

    Location: ODI Leeds - 3rd Floor - Munro House - Duke Street - LS9 8AG Leeds

  • NHS Digital

    Date: -

    Room: The Gather

    Location: ODI Leeds - 3rd Floor - Munro House - Duke Street - LS9 8AG Leeds

  • Leeds Devops

    Date: -

    Room: The Gather

    Location: ODI Leeds - 3rd Floor - Munro House - Duke Street - LS9 8AG Leeds

May

June

September