AI and ML for Finance Practitioners
Topic 1: Introduction to Data Science & Big Data
Topic 2: Machine Learning: Introduction to Algorithms
Topic 3: Machine Learning: Regression,Support Vector Machine & Time Series Models
Topic 4: Machine Learning: Regularization, Regression Trees, Random Forest & Overfitting
Topic 5: Machine Learning: Classification & Clustering
Topic 6: Machine Learning: Performance Evaluation, Backtesting & False Discoveries
Topic 7: Data Mining & Machine Learning: Naïve Bayes & Text Mining
Topic 8: Big Data & Machine Learning: Ethical & Privacy Issues
Topic 9: Big Data & Machine Learning in the Financial Industry
LO 4.2.2
LO 4.2.2: SHRINKAGE METHODS (CH 6.2)
LO 4.2.2.A
LO 4.2.2.B
LO 4.2.2.C
LO 4.2.2.D
LO 4.2.2.E
LO 4.2.2.F
LO 4.2.2.G
LO 4.2.2.H
LO 4.2.2.I
LO 4.2.2.J
LO 4.2.2.K
