آموزش یادگیری ماشین برای اسمارت بتا (Smart Beta) - آخرین آپدیت

titleFasl-Week 1 Week 1

• stepL-titleVideo-L1 Beta Investing L1 Beta Investing

• stepL-titleVideo-L2 Creating a Smart Beta Index L2 Creating a Smart Beta Index

• stepL-titleVideo-L3 Weighting Schemes L3 Weighting Schemes

• stepL-titleVideo-L4 Smart Beta L4 Smart Beta

• stepL-titleVideo-L5 Recreating the MSCI Value Index L5 Recreating the MSCI Value Index

titleFasl-Week 2 Week 2

• stepL-titleVideo-L6 Data Processing L6 Data Processing

• stepL-titleVideo-L7 Overfitting L7 Overfitting

• stepL-titleVideo-L8 Tree Model L8 Tree Model

• stepL-titleVideo-L9 Classification Tree in R L9 Classification Tree in R

titleFasl-Week 3 Week 3

• stepL-titleVideo-L10 Classification and Regression Tree (CART) L10 Classification and Regression Tree (CART)

• stepL-titleVideo-L11 Bagging L11 Bagging

• stepL-titleVideo-L12 Boosting L12 Boosting

• stepL-titleVideo-L13 Ensemble L13 Ensemble

titleFasl-Week 4 Week 4

• stepL-titleVideo-L14 Multifactor Models L14 Multifactor Models

• stepL-titleVideo-L15 Traditional Methods v. Machine Learning L15 Traditional Methods v. Machine Learning

• stepL-titleVideo-L16 Bond Factors L16 Bond Factors

• stepL-titleVideo-L17 Adaptive Multifactor Models L17 Adaptive Multifactor Models

• stepL-titleVideo-L18 Final Recap L18 Final Recap