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#46: Scikit-learn 43:Supervised Learning 21: Intuition Stochastic Gradient Descent
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The video discusses the intuition for gradient descent and stochastic gradient descent.
Timeline
(Python 3.8)
00:00 - Outline of video
00:42 - Gradient Descent (or Batch Gradient Descent)
05:13 - Stochastic Gradient Descent (SGD)
06:20 - Batch vs. Mini-batch vs. Stochastic Gradient Descent
07:33 - Model parameter update rule
10:42 - Learning rate
11:22 - Stochastic Gradient Descent (SGD) vs. Average SGD
11:54 - SGDClassifier
14:04 - SGDRegressor
15:20 - SGD: Stopping Criterion
16:12 - Tips
17:40 - SGD Complexity
18:11 - Code snippet
19:02 - Ending notes
Timeline
(Python 3.8)
00:00 - Outline of video
00:42 - Gradient Descent (or Batch Gradient Descent)
05:13 - Stochastic Gradient Descent (SGD)
06:20 - Batch vs. Mini-batch vs. Stochastic Gradient Descent
07:33 - Model parameter update rule
10:42 - Learning rate
11:22 - Stochastic Gradient Descent (SGD) vs. Average SGD
11:54 - SGDClassifier
14:04 - SGDRegressor
15:20 - SGD: Stopping Criterion
16:12 - Tips
17:40 - SGD Complexity
18:11 - Code snippet
19:02 - Ending notes
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