Posts Tagged ‘watson’

Machine Learning for Kids event at Hursley

Wednesday, August 30th, 2017

On Tuesday, a couple of dozen children (aged 8-14) spent the afternoon at Hursley so I could give them an intro to machine learning using some of the activities I’ve written for machinelearningforkids.co.uk.

I think it went pretty well, so I thought it’d be good to share what we did.


This was what the room looked like before the kids arrived… with just my two kids helping me set up. It all got a lot busier after this!

The general approach was letting them all work at computers, guided by a worksheet to build something that illustrated an aspect of machine learning. And then following this with a group discussion to draw out what they observed and what it meant.

We did this all together for the first couple of activities. Because of the large age range in the group, after this I let them split up and tackle different activities at different speeds, and followed this up by discussing their projects with them in smaller groups.

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Introducing Machine Learning to kids

Tuesday, July 4th, 2017

Today, I was helping out with a Computing summer school for teachers in London.

As part of this, I gave a presentation about machine learning to a room full of school teachers – about what it is, why I think we should be introducing it in the classroom, and how I think we could do that.

My slides are on Slideshare, but they might not make a lot of sense by themselves, so I’ll jot down here roughly what I said.

slide 1

This morning I want to talk to you about machine learning. In particular, I want to talk with you about machine learning in the context of education and how it could be introduced in the classroom.

slide 2

I’m going to try and cover three main points.

Firstly, a quick level set on what I mean by machine learning.
Then I’d like to talk about why I believe it’s important that we do this.
Finally, I want to talk about the practicalities of how we could effectively introduce machine learning in an accessible way.

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I-Spy (using Watson services from Scratch projects)

Wednesday, February 22nd, 2017

It’s half-term week, so that means more time for geekiness with the kids.

This is something Grace made this week: a game of “I spy” built using Scratch, that uses the Watson Vision Recognition API to let the game dynamically pick objects that it recognises in photos, so you can then make guesses.

Apart from being a fun game to make in it’s own right, I wanted to share why I particularly think it’s useful to be able to use Watson API’s from Scratch projects.

Screen Shot 2017-02-22 at 13.43.53

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Owlbot: Faith’s first chatbot (and barcamp)

Sunday, November 13th, 2016

For her talk at Barcamp Southampton yesterday, Faith did a presentation on owls, together with a chatbot she trained to answer questions about owls.

I’ve brought Grace to a couple of barcamps with me before: Barcamp Berkshire and Barcamp Bournemouth. But this was Faith’s first time.

She decided that she wanted to do a talk on owls. That wasn’t a big surprise… she’s a little bit obsessed with owls.

Some of Faith's owls

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Normalised Discounted Cumulative Gain

Friday, July 15th, 2016

A ramble about accuracy compared with NDCG scores for evaluating effectiveness of information retrieval. It’s an introduction, so if you already know what they are, you can skip this.

A couple of weeks ago, we released a new tool for training the IBM Watson Retrieve and Rank service (a search service that uses machine learning to train it how to sort search results into the best order).

This afternoon, I deployed a collection of small updates to the tool and thought I’d make a few notes about what’s changed.

Most of them are a bunch of incremental updates and minor bug fixes.

For example, support for a wider range of Bluemix environments, support for larger document cluster sizes, displaying the amount of disk space left in a cluster, and so on.

One update in particular I thought was more interesting, and worth explaining.

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IBM Watson Retrieve and Rank tool

Thursday, June 30th, 2016

A few months ago, I mentioned that I was starting a new project. In this post, I’ll explain what we’ve been working on and what we’re trying to achieve with it.

The project was to build something new: a self-serve web-based tool to enable training the IBM Watson Retrieve and Rank service.

Earlier today, we released a first version of the tool. Now it’s finally out there, I can share what I’ve been working on!


My video walkthrough of the IBM Watson Retrieve and Rank tool

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Watson Rock, Paper, Scissors

Sunday, June 26th, 2016

A simple hands-on activity to let kids train a machine learning classifier to be able to play Rock, Paper, Scissors.

Screen Shot 2016-06-26 at 13.59.20

I’ve written and spoken before that I think we should do more to introduce children to the idea of machine learning. And I’ve tried introducing my two kids to it, such as by making a Code Club-style game with them: we built a system to play Guess Who, that they trained both to understand what you say and to recognise the characteristics of faces from photos.

This weekend, we tried out another idea – Rock, Paper, Scissors from a web app, using the web cam to see your moves, and training a system to recognise your hand signs.

DSC06146

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The skills implications of Cognitive Computing

Wednesday, April 29th, 2015

STEMtech is a conference about the education of science, technology, engineering and maths. The attendees are an interesting mix of people from education and policy makers, as well as people like me from industry.

This year, they invited me to do a talk. My slides are shared but they’ll make no sense by themselves. What follows is roughly what I think I said.

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