MyPersonalFeed podcast

MyPersonalFeed

Justin

.

32 Episodes

01 - Stanford CS229: Machine Learning Course
7/13/2022
1:15:19
01 - Stanford CS229: Machine Learning Course
02 - Linear Regression & Gradient Descent
7/13/2022
1:18:16
02 - Linear Regression & Gradient Descent
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03 - Locally Weighted & Logistic Regression
7/13/2022
1:19:34
03 - Locally Weighted & Logistic Regression
04 - Perceptron & Generalized Linear Model
7/13/2022
1:22:01
04 - Perceptron & Generalized Linear Model
05 - GDA & Naive Bayes
7/13/2022
1:18:51
05 - GDA & Naive Bayes
06 - Support Vector Machines
7/13/2022
1:20:56
06 - Support Vector Machines
07 - Kernels
7/13/2022
1:20:24
07 - Kernels
08 - Data Splits, Models & Cross-Validation
7/13/2022
1:23:25
08 - Data Splits, Models & Cross-Validation
09 - Approx/Estimation Error & ERM
7/13/2022
1:26:02
09 - Approx/Estimation Error & ERM
10 - Decision Trees & Ensemble Methods
7/13/2022
1:20:40
10 - Decision Trees & Ensemble Methods

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