ECE 595ML Lecture 1.1: Linear Regression

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

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Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 1.1: Linear Regression," https://nanohub.org/resources/32206.

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WTHR 200, Purdue University, West Lafayette, IN

Tags

  1. algorithms
  2. linear regression
  3. machine learning
ECE 595ML Lecture 1.1: Linear Regression
  • Lecture 1.1: Linear Regression 1. Lecture 1.1: Linear Regression 0
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  • Outline 2. Outline 56.523189856523189
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  • Outline 3. Outline 139.53953953953953
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  • Basic Notation 4. Basic Notation 214.21421421421422
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  • Line Fitting 5. Line Fitting 383.71705038371704
    00:00/00:00
  • Linear Regression 6. Linear Regression 431.76509843176513
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  • Solving the Regression Problem 7. Solving the Regression Problem 569.93660326993665
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  • Linear Regression Solution 8. Linear Regression Solution 726.55989322655989
    00:00/00:00
  • Linear Regression Solution 9. Linear Regression Solution 792.625959292626
    00:00/00:00
  • Examples 10. Examples 883.41675008341679
    00:00/00:00
  • Generalized Linear Regression 11. Generalized Linear Regression 985.31865198531864
    00:00/00:00
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