Month: March 2018

  • Deep Learning IndabaX Western Cape

    Super-chuffed to be going to Deep Learning IndabaX Western Cape 6 April – can’t wait 🙂

  • A gem of a book :)

    I’ve just bought this delightfully titled book: No bullshit guide to linear algebra by Ivan Savov. It’s not necessarily easy learning everything you need to know about linear algebra for machine learning in 5 weeks (is that just me???) – so when I hit a bit of a brick wall in week 4 I went looking…

  • Yes I can API!

    I have a “real” assignment (for work as opposed to study) to do some data visualizations using maps. It’s been a journey of over a week to get to the place where I’m ready to start, and the journey has had some educational detours along the way that I thought I’d share. Naturally, because I’m…

  • 3Blue1Brown – thank you!

    This resource was just recommended via Coursera Mathematics for Machine Learning: Linear Algebra, and all I can say is WOW! Animated math: it’s slick, it’s professional, it’s cute, it makes you smile – and it makes it all seem so obvious :). I can heartily recommend you take the time if you need help on Linear Algebra. In…

  • Linear algebra

    It’s started! The long-awaited Mathematics for Machine Learning: Linear Algebra – and it was worth waiting for – great lectures and coursework so far… So excited to be learning this stuff :).

  • Visualization seems to be a thing…?

    Are people craving interesting ways to visualize data? When I tell people I’m studying data science it seems to be the first thing that springs to mind – so I’m getting good practice in that area! Next challenge: map visualizations…  

  • Polar bar chart challenge

    A big thanks to ujubee.com for challenging me to create a polar bar chart last week – I hadn’t done one of these before, but the matplotlib polar_bar_demo documentation was most excellent – and you can see from the test sample below that the results are very pretty! If you’re interested in a bit more…