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The Importance of Transparency in Machine Learning Models

Digital systems are only useful if they can be trusted to do their job. With traditional deterministic systems, we could derive a degree of certainty that a system was working correctly through processes such as unit tests, end-user testing, code reviews, and design documentation. AI is inherently non-deterministic in nature,

Transparency

Drag and Drop your way to a new Machine Learning Model

Introducing PerceptiLabs, a Visual Modeling Tool for Machine Learning In the past four to five years, with the growth of machine learning (ML) we’ve seen the number of available ML frameworks explode. TensorFlow has become a prominent player, especially when paired with languages and frameworks like Python and NumPy.