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Tag: Machine Learning

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17 posts with this tag

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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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Using k-fold cross-validation to estimate out-of-sample accuracy

One of the biggest issues when building an effective machine learning algorithm is overfitting. Overfitting is where you build a model on your training data and it not only picks up the true relationship between the outcome and the predictors, but …

Posted on October 14, 2015 • 7 minutes read Read on
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