The IBM Watson Natural Language Classifier Python Sample Code by IBM presents how to implement language classifier into applications. The example available recognizes text to request information about the weather.
When Google opened its Tensor Flow machine learning (ML) tech, it also unleashed a tidal wave of possibilities, potentially triggering a tipping point as businesses begin to understand what ML can do for them. But for many ML remains an enigma. This tutorial is for those of us who are such mortals.
The need to turn raw data into actionable knowledge is fueling the growth of an ecosystem of young companies aiming to develop solutions that can literally turn data into dollars. One such company is Prelert, which last week released an API for its anomaly detection engine.
IBM has announced the addition of three new advancements to the Watson Cloud platform; real-time speaker diarization (beta) support available via the Watson Speech to Text API, Visual Recognition tagging with a built-in set of visual labels, and the Watson Discovery Service.