Рет қаралды 13,239
Prep Packages for the CFA® Program offered by AnalystPrep (study notes, video lessons, question bank, mock exams, and much more):
Level I: analystprep.com/shop/cfa-leve...
Level II: analystprep.com/shop/learn-pr...
Levels I, II & III (Lifetime access): analystprep.com/shop/cfa-unli...
Prep Packages for the FRM® Program:
FRM Part I & Part II (Lifetime access): 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.