AI and ML for Finance Practitioners

Topic 1: Introduction to Data Science & Big Data

Topic 2: Machine Learning: Introduction to Algorithms

Reading 2.1

LO 2.1.1

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 2.2.1

LO 2.2.1: MOTIVATION FOR USING NEURAL NETS TO RECOGNIZE HANDWRITTEN DIGITS

#Link: Article

LO 2.2.1.A