[ATOM] Advanced Topics on Machine Learning discussion group

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ATOM is meeting on Tuesday, 21st May, 6:30pm, at Galvanize!

Our discussion this month will be led by Stuart Axelbrooke.

Sentiment classification is a common yet challenging task in natural language processing. It is both a great entry point to the field, and a great way of demonstrating the different text classification techniques used over the years.

This talk will cover core NLP techniques and pipeline components that go into different implementations ranging from keyword matching, to naive bayes classifiers, to neural networks. It is intended to show newcomers the basic components of an NLP system, and show NLP adepts the why and how of state of the art sentiment classifiers.

The supporting material for this month is the below slides and collection of notebooks.

About ATOM:
Advanced Topics on Machine learning ( ATOM ) is a learning and discussion group for cutting-edge machine learning techniques in the real world. We work through winning Kaggle competition entries or real-world ML projects, learning from those who have successfully applied sophisticated data science pipelines to complex problems.

As a discussion group, we strongly encourage participation, so be sure to read up about the topic of conversation beforehand !

ATOM can be found on PuPPy’s Slack under the channel #atom, and on PuPPy’s Meetup.com events.

We're kindly hosted by Galvanize (https://www.galvanize.com). Thank you !