TensorFlow Image Recognition on a Raspberry Pi
In this post, Matt talks about using TensorFlow to detect true and false positives in our Caltrain work.
Author Archive
Data Opportunities in Insurance
In this post we explore how data is changing the insurance industry, through the lens of auto insurance underwriting.
Noteworthy Links: Using Data Creatively
Being data-driven means breaking down silos within organizations, promoting communication, and being deliberate about the data you collect and use. Here are five articles that illustrate how modern organizations are tackling this challenge.
Avoiding Common Mistakes with Time Series Analysis
A basic mantra in statistics and data science is correlation is not causation, meaning that just because two things appear to be related to each other doesn’t mean that one causes the other. This is a lesson worth learning.
Trends in Data-Driven IoT
In this post, we go over some emerging themes in IoT and give you a solid place to start in understanding the ecosystem.
Imbalanced Classes FAQ
Here we share some further thoughts on imbalanced classes, and offer more resources.
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.
How Do You Build a Data Product?
Data products are those whose core functions leverage data, be they physical products, software, or services. Edd dives deeper into building data products here.
Agile Data Science Teams Deliver Real World Results
In this post, CTO John Akred looks at the practical ingredients of managing agile data science.