In this post, we will explore some aspects of the train delay data we’ve been collecting from the Caltrain API.
Archive for the ‘R&D’ Category
In this post, Matt talks about using TensorFlow to detect true and false positives in our Caltrain work.
In this post, we discuss our Raspberry Pi streaming video analysis software, which we use to better predict Caltrain delays.
In this post, we go over the steps for creating a proof of concept for the image processing piece of our Caltrain work.
In this post we’ll start looking at the nuts and bolts of making our Caltrain work possible.
In this post we share some links to interesting work being done with social media data.
On May 6th, SVDS was honored to host an Open Data Science Conference (ODSC) Meetup in our Mountain View headquarters. Data Engineer Harrison Mebane and Data Scientist Christian Perez presented on our Caltrain project.
We believe there are clearly some compelling value propositions that come from integrating the visibility from the IoT into applications that help understand and manage the state of complex systems. With the internet of things, the more things, really, the merrier.
In this post, we will explore some aspects of the train delay data we’ve been collecting from the Caltrain API over the past few months. The goal is to get our heads into the data before setting off on building a prediction model.