Explainable ML: Connecting Business Users with Data Science Deployments
We are a group of passionate and interesting people, dedicated to discuss data science, data mining, machine learning, machine intelligence, deep learning, predictive analytics, artificial intelligence, big data analytics, NLP, statistical analysis and more.
The effectiveness of current AI systems is limited by the machine’s current inability to explain their decisions and actions to human users. Explainable machine learning will be essential for business users to understand, appropriately trust, and effectively manage intelligent machine agents. In this session, speaker will share his professional experience and discuss some of the current trends in explainable AI.
Current ML algorithms and where they stand
Deep Learning Explanations
Probabilistic Program Induction
And – Or – Templates
Local Interpretable Model Agnostic Explanations
Bayesian Rule Lists
Q & A session