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Big Data Projects (2024 Level II CFA® Exam –Quantitative Methods–Module 7)

Prep Packages for the CFA® Program offered by AnalystPrep (study notes, video lessons, question bank, mock exams, and much more): Level I: https://analystprep.com/shop/cfa-leve... Level II: https://analystprep.com/shop/learn-pr... Levels I, II & III (Lifetime access): https://analystprep.com/shop/cfa-unli... Prep Packages for the FRM® Program: FRM Part I & Part II (Lifetime access): https://analystprep.com/shop/unlimite... Topic 1 – Quantitative Methods Module 7 – Machine Learning 0:00 LOS: Introduction and Learning Outcome Statements 7:25 LOS: Distinguish between supervised machine learning, unsupervised machine learning, and deep learning; 15:40 LOS: Describe over fitting and identify methods of addressing it; 20:54 LOS: Describe supervised machine learning algorithms—including penalized regression, support vector machine, k-nearest neighbor, classification and regression tree, ensemble learning, and random forest—and determine the problems for which they are best suited; 46:17 LOS: Describe unsupervised machine learning algorithms—including principal components analysis, K-means clustering, and hierarchical clustering—and determine problems for which they are best suited; 56:09 LOS: Describe neural networks, deep learning nets, and reinforcement learning.