Seven years ago I was in work bored and desperate for a new challenge. My daughter had recently been born and I had decided to stop playing World of Warcraft. Needing a new challenge, I had toyed with an MBA but really wanted to do something for me. So I signed up for a BSc in Mathematics with the Open University, which I knew would take about 6 years part time while working. This week, I got the results for my final module and it was confirmed I had earned a first class honours degree. But why didn’t I do maths the first time round?Continue reading Maths degree for fun? Done!
It’s been possible to run Linux on Windows for a few years now. Windows Subsystem for Linux (WSL) was released in 2016, allowing native Linux applications to be run from within Windows without the need for dual boot or virtual machine. In 2019 WSL2 was released, providing a better architecture in terms of the kernel and improving the native support. A few weeks ago, Microsoft and NVIDIA announced GPU support on WSL2 and the potential for CUDA accelerated ML on Ubuntu from within Windows. Before I dive into this in detail, I want to take a quick aside into why you might want or need to do this…Continue reading WSL2 and GPU powered ML
While it’s no secret I love Lego and tech in general, I also love the educational STEM toys that are released. Sometimes, the ages on the toys don’t always make sense for their complexity, leaving a child who is either frustrated at something too tricky or too simplistic. Both can leave a young person slightly disengaged with STEM, the exact opposite of the idea of these toys!
Christmas 2019 I was given this Hydraulic Robot Arm kit, suitable for ages 10+1. With work, OU study and general life I’ve only just got around to building it2. So, let’s take a look – is it suitable for ages 10 and up for both build and principles it teaches?Continue reading STEM toy review: hydraulic robot arm
This week I was due to be sat in a large hall with about 200 other Open University students taking my exam for module M347, the last of the modules for the BSc in Mathematics I started for “fun“1. As with students in traditional universities, March 2020 gave a lot of uncertainty2. While some modules were switched to be coursework based assessment, mine was confirmed to be a remote exam with the originally planned exam paper. The paper would be accessible as a PDF on the day of the exam and then submitted in two parts: a multiple choice computer marked section and then a human marked second section. We would not be time limited (other than by the 24 hours in the day!) So how did I feel about this and how did it go?Continue reading My first remote exam experience
There’s a trend in job descriptions that the company may be looking for “Data Science Unicorns”, “Python Ninjas”, “Rockstar developers”, or more recently the dreaded “10x developer”. When companies ask this, it either means that they’re not sure what they need but they want someone who can do the work of a team or that they are deliberately targeting people who describe themselves in this way. A couple of years ago this got silly with “Rockstar” to the point that many less reputable recruitment agencies were over using the term, inspiring this tweet:
Many of us in the community saw this and smiled. One man went further. Dylan Beattie created Rockstar and it has a community of enthusiasts who are supporting the language with interpreters and transpilers.
While on lockdown I’ve been watching a lot of recordings from conferences earlier in the year that I didn’t have time to attend. One of these was NDC London, where Dylan was giving the closing session on the Art of Code. It’s well worth an hour of your time and he introduces Rockstar through the ubiquitous FizzBuzz coding challenge.
After watching this I asked the question to myself, could I write a (simple) neuron based machine learning application in Rockstar and call myself a “Rockstar Neural Network” developer?Continue reading How to be a Rockstar Neural Network Developer
Today I submitted the last assessment ahead of the exam for my tutor to mark in my Mathematical Statistics module. For once, I’m actually on track with my study but it’s not been without difficulty. If you’ve been following my OU journey then you’ll know I work full time and have a family, so dedicated study time can often be a low priority. Up until the second week of March this year1 I had a reasonable routine: I’d spend the two hours I commute Monday to Friday going through the course materials and then this extra maths wouldn’t impact work or home life.Continue reading M347 – Mathematical Statistics – preparing for the exam in the “new normal”
Last week I was interviewed by Keith Robinson of Ammonite Data, with a topic of managing data science teams remotely and all the challenges this brings. We had a much more wide ranging conversation where I looked at challenges of communication and even the impact on models that the current extraordinary events will have.
I hope you find these enjoyable and helpful.
For the past two weeks I have, like most people, been working from home. Doing fun stuff just for yourself during this time can be incredibly important, and with this in mind I’ve started going through some of the Lego and other building kits I’ve got and just not had time to open. The first of these that I’ve tackled is this years Ideas (fan-designed) Lego set the international space station.Continue reading Review: Lego Ideas International Space Station
One of the things that I have been complaining about with many of the data science masters courses is that they are missing a lot of the basic skills that are essential for you to be able to be effective in a business situation. It’s one of the things I was going to talk about at the Women in AI event that was postponed this week and I’m more than happy to work with universities who want to help build a course1. That said, some universities are realising this is missing and adding it as optional courses.Continue reading Data Science Courses – the missing skills you need
If you’ve been to any of my technical talks over the past year or so then you’ll know I’m a huge advocate for running AI models as api services within docker containers and using services like cloud formation to give scalability. One of the issues with this is that when you get problems in production they can be difficult to trace. Methodical diagnostics of code rather than data is a skill that is not that common in the AI community and something that comes with experience. Here’s a breakdown of one of these types of problems, the diagnostics to find the cause and the eventual fix, all of which you’re going to need to know if you want to use these types of services.Read more