Josh Lovejoy @jdlovejoy, in the first minutes of this video about human-centered machine learning, explains “artificial intelligence is really anything where there is an automated decision being made” and cites, as examples, a toaster and automatic doors. Yes, your toaster is AI! And then “what’s distinct about machine learning as a subset of AI is that decisions are learned”. As simple as that. Refreshening.
Wow! The Google Prediction API enables access to Google’s machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications. The Prediction API implements supervised learning algorithms as a RESTful web service to let you leverage patterns in your data, providing more relevant information to your users. Run your predictions on Google’s infrastructure and scale effortlessly as your data grows in size and complexity.
* Language identification
* Customer sentiment analysis
* Product recommendations & upsell opportunities
* Message routing decisions
* Document and email classification
* Suspicious activity identification
* Churn analysis
* And many more…