September 08 to 10 2014, Santa Clara, USA.


Speaker "Connor Johnson" Details

Name :
connor johnson
Company :
Title :
Data Scientist
Topic :

Machine Learning with Open Source Tools

Abstract :

Using Python one can leverage mature open source machine learning tools. First we will discuss how to pose a machine learning problem, next we will discuss two example cases. The first example will of use decision tree classifiers from scikit-learn to train data and predict geological formations from log curves. The second will consider using Tkinter and PyBrain for quickly generating training data and then building a neural network for prediction. The advantage of using open source tools is that they can be picked apart, modified, and recombined in ways that more user-friendly analysis software and dashboards cannot.

Profile :
Connor Johnson is a Senior Data Manager at Halliburton where he performs various data related tasks from data collection and cleaning, to modeling and analysis. He has a master's in mathematics, and several years of experience writing code to interpret and exploit typically messy, unstructured data.

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