Pythology Lecture Series: Machine Learning, AI, and Genetic Programming

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IndyPy
Launch Fishers 12175, Visionary Way
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Friday, September 22, 2017, 8;30AM-6PM

The next Pythology event is coming on Friday, September 22nd! Come learn about Machine Learning, AI, and Genetic Programming.

Space is limited, so don’t miss out on this awesome event!


The event will include talks from several pythonistas in the Indianapolis area:

Check Out The Hay Before Diving After The Needle: Intro to Pattern Discovery

By: Trey Brooks
Data Engineer, Healthcare Bluebook

MCS-DS Graduate Student at University of Illinois Urbana-Champaign

This lecture provides a brief tour of how rules of association are formed, how we can mine patterns efficiently, and why these methods are so important for data science today.

Pattern Discovery is a fundamental principle of data mining. It allows a data scientist to derive association and correlation. Patterns can illuminate latent clusters in data that would not be immediately obvious. Searching for these patterns can be applied to multimedia data, spatiotemporal data, time-series data, or stream data. Furthermore, the application of sequential pattern discovery can help us understand the likelihood of natural disasters, what medical treatments have been effective, and how the DNA has changed over time.

How to Build Skynet: 7 steps (with pictures), an Intro to Neural Networks
By: Brandon Boynton, CEO and CoFounder, Vemity AI

Learn about the history of neural networks, what they are and how they work. Then build your very own AI using a neural network to predict whether or not a mushroom is poisonous or edible. If that wasn’t cool enough, you’ll build a second AI to classify pictures of cats and dogs.

What you will learn:

1. What a neural network actually is

2. Why it is the premier data science tool.

3. How neural networks can be used in endless applications

4. What is truly important when creating an AI with neural network technology.

Most importantly, you’ll leave with two basic AIs of your very own and the knowledge you need to build more.