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About Blog Projects Talks Podcasts Tags Other work

Tag: Machine Learning

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17 posts with this tag

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Optimising the Minkowski distance, part 1: vector subtraction

In the last blog post, we discussed how to calculate the Manhattan and Euclidean distances from first principles. However, in that post, we did a very manual implementation for a single pair of vectors, which would not generalise well to more than …

Posted on June 14, 2022 • 8 minutes read Read on
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Just enough linear algebra to understand the Minkowski distance

If you had to invent a machine learning algorithm from scratch, what would be some of the ways you'd find patterns in your data? One idea that you might have come up with is to assume that data points that are "close" to each other are similar, and …

Posted on June 7, 2022 • 10 minutes read Read on
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Exploring decision tree modelling with DataSpell

During my years of working as a data scientist, I've tried quite a number of IDEs. When I was primarily working with R, RStudio was a very nice environment to work with, but when I moved to working in Python I hadn't been able to find anything close. …

Posted on December 28, 2021 • 9 minutes read Read on
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Finding your new favourite Christmas recipe using NLP

With a full coronavirus shutdown in Germany, Christmas this year in Berlin will be very quiet. I have been keeping myself entertained for the last couple of weeks by watching old seasons of The Great British Bakeoff, so between that and the mountain …

Posted on December 24, 2020 • 9 minutes read Read on
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Automatic word2vec model tuning using Sagemaker

In this post, we continue our discussion about how to use AWS Sagemaker's BlazingText to train a word2vec model. In the last post we learned how to set up, train and evaluate a single model. However, we essentially selected our hyperparameters at …

Posted on November 18, 2020 • 8 minutes read Read on
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