Machine learning is an approach to making many similar decisions that involves algorithmically finding patterns in your data and using these to react correctly to brand new data

For all the talk about data and learning, Essa offered this blunt assessment: “Pretty much all edtech sucks. And machine learning is not going to improve edtech.” So what’s missing? “It’s not about the data, but how do we apply it. The reason why this technology sucks is because we don’t do good design. We need good design people to understand how this works.”

a flexible Internet of Things backbone making the installation of sensors simple, inexpensive and from any provider or maker an inter-agency platform facilitating co-operation across the social and community agencies in the city machine learning and advanced analytic processing to create further insight into city issues putting virtual reality engagement platforms in place to make that data accessible, useful and understandable developing our Civic Hacking communities to create new citizen made apps, websites and services using city data.

With over 6 million users, the open source Anaconda Distribution is the fastest and easiest way to do Python and R data science and machine learning on Linux, Windows and Mac OS X. It's the industry standard for developing, testing and training on a single machine