Managing Uncertainty in Machine Learning w/ Brad Block

Brad will lead a discussion on managing uncertainty in ML. Topics may include:

• Tests of statistical significance
• Confidence intervals
• Credible intervals
• Central limit theorem
• Monte Carlo simulation
• Density estimation
• Model selection
• Uncertainty in deep learning
• Probabilistic calibration
• and others ...