The Human Face of Big Data makes its debut tonight, 2/24/2016, on PBS (if you are in the United States). Hopefully it will be available via the PBS website fairly soon.
Many of the keynotes are available.
Robin Murphy has one of the coolest job titles I have ever read, Disaster Roboticist. At Texas A&M, she works on developing advanced robots for disaster recovery.
In this Ted talk, she outlines some of the capabilities of the robots and how the robots work. One quote at the end really caught my attention.
So really, “disaster robotics” is a misnomer. It’s not about the robots. It’s about the data.
The robots are collecting data and that data needs analysis!
A fun video to watch. Very Impressive!
The technique uses a genetic algorithm to training a neural network. A paper with more details can be found at, Evolving Neural Networks through Augmenting Topologies (NEAT)
Nando de Freitas taught a deep learning course at the University of Oxford. All of the videos are freely available. The playlist is a bit out of order, but starting with Lecture 1 is probably the best technique.
Sense has launched to the public today, March 18, 2015. Sense is an online data science platform providing you the capability to easily perform your entire data science workflow via a browser. No need to provision new servers or install software, just click “New Project” and start your analysis. The Sense platform includes the following features:
- Languages: R, Python, Julia, SQL
- Simple collaboration for teams
- Easily Scale up or down with just the click of a mouse
- Scheduled Tasks
- Notifications for completion of long running tasks
- An on-premise Enterprise version
I have been one of the early beta-testers for Sense, and I have previously written about using the platform. I really like the platform. I find it easy, intuitive, and clean. Plus, I love being able to run all my analysis with just my chromebook. So, go signup and please feel free to follow me at sense.io/ryanswanstrom as I am sure to be adding some new analysis.
Below is a video with an expanded introduction to the Sense Platform.
Ben Wellington gives an excellent Ted Talk on open data. He argues that cities need to make more of an effort to release data in a standardized and machine-readable format. This could help cities be safer and fiscally responsible. He is hoping New York City sets the standards for open data for cities. As a bonus, he is a wonderful story teller.
Geoffrey Hinton recently did a Reddit AMA (Ask Me Anything). It contains some good information related to neural networks and deep learning.
Also, below is a lengthy video of a distinguished lecture Geoffrey gave at the Toyota Technological Institute in Chicago.