On today’s episode, we are joined by Aimee Dunlap. Aimee is an assistant professor at the University of Missouri–St. Louis and the interim director at the Whitney R. Harris World Ecology Center.
Aimee discussed how animals perceive information and what they use it for. She discussed the connection between their environment and learning for decision-making. She also discussed the costs required for learning and factors that affect animal learning.
Automatic Identification of Outlier Galaxy Images
Do We Need Deep Learning in Time Series
Detecting Drift
Darts Library for Time Series
Forecasting Principles and Practice
Prequisites for Time Series
Orders of Magnitude
They're Coming for Our Jobs
Pandemic Machine Learning Pitfalls
Flesch Kincaid Readability Tests
Fairness Aware Outlier Detection
Life May be Rare
Social Networks
The QAnon Conspiracy
Benchmarking Vision on Edge vs Cloud
Goodhart's Law in Reinforcement Learning
Video Anomaly Detection
Fault Tolerant Distributed Gradient Descent
Decentralized Information Gathering
Leaderless Consensus
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