A comparison of human learning to machine learning to understand how cognitive science perspectives can be infused into artificial intelligence products
A discussion of social and ethical implications of biases in machine learning and recent de-biasing methodologies
Explores concepts like belief updating, incremental distributional learning, representational plasticity, and information theory
Discusses attitudes towards gender competition in relation to cultural, corporate, and behavioral barriers women face as they climb the corporate ladder
Considering many factors to construct a credit profile with AI, which will help lenders make accurate decisions
By using H2O.ai’s Driverless AI platform and AWS, G5 takes training dataset, conducts feature engineering and builds a predictive model to identify leads and increase conversion rates
ArmadaHealth trains an NLP model to understand customer sentiment and match patients with better specialists for them
Data scientists at RSC collect data from past medical records and genetic tests, analyze what factors make a successful embryo, to predict favorable outcomes for patients
Thanks for Reading, appreciate your time!
😁🤭🤩