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 5.1.4
LO 5.1.4: DESCRIBING A KEY ANALYTICAL FRAMEWORK AND CALCULATING EXPECTED VALUES (CH 7)
LO 5.1.4.A
LO 5.1.4.B
LO 5.1.4.C
LO 5.1.4.D
LO 5.1.4.E
LO 5.1.4.F
LO 5.1.4.G
LO 5.1.4.H
