added video
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@@ -163,6 +163,7 @@ MathJax.Hub.Config({
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<ul>
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<p><li> Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Discussion of project 1 and examples on how to implement Logistic Regression</li>
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<p><li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
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<p><li> Friday: Stochastic Gradient descent with examples and automatic differentiation</li>
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<p><li> Reading recommendations:</li>
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</ul>
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@@ -249,6 +249,7 @@ MathJax.Hub.Config({
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<ul>
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<li> Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Discussion of project 1 and examples on how to implement Logistic Regression</li>
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<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
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<li> Friday: Stochastic Gradient descent with examples and automatic differentiation</li>
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<li> Reading recommendations:</li>
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</ul>
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@@ -254,6 +254,7 @@ MathJax.Hub.Config({
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<ul>
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<li> Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Discussion of project 1 and examples on how to implement Logistic Regression</li>
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<li> <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture</a></li>
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<li> Friday: Stochastic Gradient descent with examples and automatic differentiation</li>
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<li> Reading recommendations:</li>
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</ul>
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@@ -6,6 +6,7 @@ DATE: today
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===== Plan for week 39 =====
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* Thursday: Repetition of Logistic regression equations and classification problems and discussion of Gradient methods. Discussion of project 1 and examples on how to implement Logistic Regression
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* "Video of Lecture":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember30.mp4?vrtx=view-as-webpage"
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* Friday: Stochastic Gradient descent with examples and automatic differentiation
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