Learning From Data
-
- When is the mean useful?
- Correlation---intuition and problems
-
- Functional Estimation as Cost Minimization
- What's the cost?
- How to minimize costs
- Derivation of simple linear regression
-
- Decomposing Error in Bias, Variance, Irreducible Error
- Practical Trade-offs between Bias and Variance
- Regularization, Dropout, etc.
-
- Metrics for evaluating models
- Clearing up confusion about confusion matrices
- How to construct your test data
-
- Active learning
- Generating types
-
- Cosal Inference
- Experimental Inference
- Power
-
- Concerns
- Solutions
-
- Why?
- How?
- Concerns
-
- Why?
- How?
- Concerns
-
- Why cross-validation isn't enough
- Lessons from SWE
Author
Gaurav Sood