MyPersonalFeed podcast

08 - Data Splits, Models & Cross-Validation

13.7.2022

MyPersonalFeed

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1:23:25

08 - Data Splits, Models & Cross-Validation

Flere episoder fra "MyPersonalFeed"

01 - Stanford CS229: Machine Learning Course
13.7.2022
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01 - Stanford CS229: Machine Learning Course
02 - Linear Regression & Gradient Descent
13.7.2022
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02 - Linear Regression & Gradient Descent
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03 - Locally Weighted & Logistic Regression
13.7.2022
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03 - Locally Weighted & Logistic Regression
04 - Perceptron & Generalized Linear Model
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04 - Perceptron & Generalized Linear Model
05 - GDA & Naive Bayes
13.7.2022
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05 - GDA & Naive Bayes
06 - Support Vector Machines
13.7.2022
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06 - Support Vector Machines
07 - Kernels
13.7.2022
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07 - Kernels
08 - Data Splits, Models & Cross-Validation
13.7.2022
1:23:25
08 - Data Splits, Models & Cross-Validation
09 - Approx/Estimation Error & ERM
13.7.2022
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09 - Approx/Estimation Error & ERM
10 - Decision Trees & Ensemble Methods
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10 - Decision Trees & Ensemble Methods

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