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.
Posts Tagged ‘Data science’
Data Opportunities in Insurance
In this post we explore how data is changing the insurance industry, through the lens of auto insurance underwriting.
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.
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.
Agile Data Science Teams Deliver Real World Results
In this post, CTO John Akred looks at the practical ingredients of managing agile data science.
Embracing Experimentation at AstroHackWeek 2016
Senior Data Scientist Jonathan Whitmore talks about experimentation and agility, based on his time at the unconference.
The Venn Diagram of Data Strategy
Data strategy matters to both business and tech. It’s a problem that sits in the center of a Venn diagram, and if we get stuck thinking of those two domains as existing solely in completely separate silos, we’ll lock ourselves out of that key middle ground where the really important problems get solved.
The One Key Skill of the CDO
In this post, Julie talks about the necessary skills for a CDO, as learned through her research for the “Understanding the Chief Data Officer” report.