deep learning

Software Engineering as a Data Scientist

Many of us in Data Science come from math, biology, chemistry or engineering or other non-Computer Science backgrounds, which may mean that we don’t have much experience writing and maintaining large code bases. Recently, I found myself getting frustrated with the structure of some of my code and searching for a better way to structure […]

Building Recommendations Systems

Recommendations systems are good for matching users to their favorite products and are incredibly popular. In fact you have likely used a recommendation system at least once in your life. For example, Amazon uses recommendation systems to suggest new exciting products to purchase based on users’ previous purchase patterns and those similar users. Netflix also […]

Recurrent Neural Networks in PyTorch

Feed forward networks cannot learn from the past, but Recurrent Neural Networks (RNNs) can learn by accepting data in a sequence. Examples of applications for RNNs include the text autocomplete feature on your phone and performing language translations.  Recurrent Neurons (RNs) act as the building blocks of RNNs. The difference between RNs and feed forward […]

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