3 posts with this tag
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 …
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 …
I recently finished Jose Portilla's excellent Udemy course on PySpark, and of course I wanted to try out some things I learned in the course. I have been transitioning over to AWS Sagemaker for a lot of my work, but I haven't tried using it with …
