Mike Solomon will teach you how to do Machine Learning on Meeshkan. Meeshkan is an easy and inexpensive platform where people can explore ideas in AI, Machine Learning and Deep Learning. This course starts with a simple AI question: can a machine predict if a GitHub project will be successful by analyzing only the first few commits of that project? The first section of the course will run the Machine Learning project on Meeshkan. You'll see how quick and easy it is to do Machine Learning on Meeshkan.

Meeshkan is an IoT service where people can convert almost any device into a client that executes distributed Machine Learning tasks. People are paid for the time their device is used. Meeshkan is currently in its public beta.

Go learn something on it! In 2010, Cloudera played one of the Internet's great April Fools jokes. Called Pushing the Limits of Distributed Processing, they claimed that Apache Hadoop was being run on 1,000,000 Nexus devices to help Google process images. Little did they know that, as mobile computing got more powerful, this is exactly what companies would do all the time -- using the machines that connect to their network as an extension of their servers. Putting aside the Orwellian overtones, this brings up a great question -- what if we actually worked together to make distributed systems that could help people crunch data while paying device owners for usage time?