The mlrequest Reinforcement Learning Python Sample Code demonstrates how to call a reward endpoint after making a prediction, if the model's prediction resulted in a positive outcome. For example, if a user started watching the movie that was recommended, the reward endpoint should then be called to notify the model that it predicted a good action.
Microsoft announced a number of new API features within its Project Oxford artificial intelligence platform. The Face API was updated with facial hair and smile prediction. Other tools were officially opened up for public beta (e.g. spell check, CRIS, video editing, and more).
Thirteen APIs have been added to the ProgrammableWeb directory in categories including Weather, Financial and Contacts. Highlights include an API for hyper-local weather data, an API for adding satellite imagery to apps, and the Firebase ML Kit SDKs. Here's a rundown of the latest additions.
IBM continues to push the boundaries of human-machine interaction with its Watson, machine-learning platform. A new set up APIs allow third party software and hardware to leverage the platform. Tone Analyzer, Emotion Analysis, Visual Recognition, and Expressive TTS arrive as the new Watson APIs.