Machine Learning Haikus
Forget “machine learning in plain English”. Instead, I present some of the most popular algorithms in haiku form. Consider it “machine learning for the busy”.
Read More...Forget “machine learning in plain English”. Instead, I present some of the most popular algorithms in haiku form. Consider it “machine learning for the busy”.
Read More...I was watching a later series of QI recently and couldn’t help but notice that Alan Davies was winning quite a few episodes. That prompted me to ask the question: is Alan Davies getting better at QI?
Read More...I’ve often read the advice that side projects should be solving problems or answering questions that you yourself are interested in. To that end, I’ve always wanted to know how well the Hungarian national team have done against various countries worldwide and to explore this question, I scraped the matches played by the Hungarian national team and made an interactive world map.
Read More...A mini project to visualise the votes for the 2016 FIFA Awards, to see which country voted for which player.
Read More...In this post I finish, and reflect on, my 30 day blogging challenge and summarise why I’d recommend doing something similar to anyone struggling with getting their blog/portfolio going.
Read More...A discussion of “method chaining” in pandas. Used for better readability, or harder debugging, depending on how you look at it.
Read More...Having an accurate machine learning model may be enough in itself, but in some cases the only way to turn it into a business decision is if you can understand why it’s getting the results it’s getting. In this short tutorial I want to show a quick way to visualise a trained decision tree in Python.
Read More...SQL is a useful part of a data scientist’s toolkit and it can feel like an intimidatingly big area to try and learn alongside all the other data science concepts. I want to present a few key concepts that are enough to get you up and running with SQL!
Read More...In this post I revisit the Investigatory Powers bill, a.k.a. the Snooper’s Charter.
Read More...In this post I want to introduce some software development concepts that I think data scientists would benefit from. Specifically 5 of them.
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