Imbalanced Classes FAQ
Here we share some further thoughts on imbalanced classes, and offer more resources.
Posts Tagged ‘Technical’
Techniques and Technologies: Topology and TensorFlow
In early December we hosted a meetup, featuring Dr. Alli Gilmore discussing topological data analysis, and Dr. Andrew Zaldivar covering practical usage of Tensorflow.
Embracing Experimentation at AstroHackWeek 2016
Senior Data Scientist Jonathan Whitmore talks about experimentation and agility, based on his time at the unconference.
Streaming Video Analysis in Python
In this post, we discuss our Raspberry Pi streaming video analysis software, which we use to better predict Caltrain delays.
Noteworthy Links: September 22 2016
We’re at Enterprise Dataversity this week in Chicago, and next week we’ll be in NYC for Strata + Hadoop World. In the midst of this busy September, here are some articles we’ve come across and enjoyed.
Jupyter Notebook Best Practices for Data Science
We present some best practices that we implemented after working with the Notebookâand that might help your data science teams as well.
Image Processing in Python
In this post, we use a Jupyter Notebook go over the steps for creating a proof of concept for the image processing piece of our Caltrain work.
Introduction to Trainspotting
In this post we’ll start looking at the nuts and bolts of making our Caltrain work possible: image processing, video analysis, and image recognition.
Predix Transform 2016
We detail insights learned while attending the recent Predix Transform conference.