Cooperative data exploration

Living in a world of big data comes with a certain challenge. Namely, how to extract value from this ever-growing flow of information that comes our way. There are a lot of great tools that can help us, but they all require a lot of resources. So, how do we ease the burden on this CPU/RAM demand? One way to do it is to share the data we are working on and results of our computations with others.

Exploration of data from iPhone motion coprocessor (2)

Last week we have downloaded and loaded into R data from fitness tracker (motion coprocessor in iphone). Then with just few lines of R code we decomposed the data into a seasonal weekly component and the trend. Today we are going to see how to plot the number of steps per hour for different days of week. And then same data will be used to check how often there was any activity at given time.

Which whale is it, anyway? Face recognition for right whales using deep learning

Right Whale Recognition was a computer vision competition organized by the NOAA Fisheries on the data science platform. Our machine learning team at has finished 1st! In this post we describe our solution.

Exploration of data from iPhone motion coprocessor

During the Christmas break I met my brother-in-law who is an ultimate gadgeteer (an excellent trait for brother). He told me that most iPhones have build-in motion coprocessor and by default they are counting steps. No need to turn on anything, it is working all the time (assuming that the phone is with you).