Matthew Mayo

Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it’s free?

In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. a text classifier). As Yoav Goldberg asks, “How can we encode such categorical data in a way which is amenable for us by a statistical classifier?” Enter the word vector.

This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

Finding the data you need is hard. So why not fake it?

Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.

This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics.

This collection of 5 courses is intended to help NLP practitioners or hopefuls acquire some of their lacking linguistics knowledge.

Unicorns don’t exist. Aim instead to be an endangered species.

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