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Tag: Data Science

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31 posts with this tag

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Optimising your New Year's sparkling purchase

We're all keen to say goodbye to this awful year, so I imagine most of you want to make the most of your New Year's celebration. While many of us won't be going anywhere, we can at least enjoy a good bottle of sparkling wine at home. In this blog …

Posted on December 30, 2020 • 7 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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Training and evaluating a Word2Vec model using BlazingText in Sagemaker

AWS Sagemaker has a number of inbuilt algorithms, which are not only easier to use with the Sagemaker set up but are also optimised to work with AWS architecture. At my previous job, we used word embeddings extensively to help solve NLP problems. We …

Posted on September 7, 2020 • 12 minutes read Read on
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Simplifying the normal equation with Gram-Schmidt

In the last post I talked about how to find the coefficients that give us the line of best fit for a OLS regression problem using the normal solution. The core of this approach is the equation: $$ X^TXb = X^Ty $$The way we solved this in the previous …

Posted on July 27, 2020 • 8 minutes read Read on
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