ECE 595ML: Course Overview

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: Course Overview," https://nanohub.org/resources/32205.

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WTHR 200, Purdue University, West Lafayette, IN

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ECE 595ML: Course Overview
  • Course Overview 1. Course Overview 0
    00:00/00:00
  • Machine Learning: Your Interpretation? 2. Machine Learning: Your Interpr… 57.323990657323996
    00:00/00:00
  • Elements of Learning? Data Computer Algorithm 3. Elements of Learning? Data Com… 153.28661995328662
    00:00/00:00
  • What is Learning? What is NOT learning? 4. What is Learning? What is NOT … 219.9532866199533
    00:00/00:00
  • Approach 1: Learning 5. Approach 1: Learning 276.97697697697697
    00:00/00:00
  • Approach 2: Design 6. Approach 2: Design 357.99132465799136
    00:00/00:00
  • Which one fits learning? Which one fits design? 7. Which one fits learning? Whic… 499.16583249916584
    00:00/00:00
  • Machine Learning Model 8. Machine Learning Model 635.20186853520192
    00:00/00:00
  • Machine Learning Model 9. Machine Learning Model 836.80347013680353
    00:00/00:00
  • Learning Algorithm 10. Learning Algorithm 1007.5408742075409
    00:00/00:00
  • Types of Learning 11. Types of Learning 1115.2152152152153
    00:00/00:00
  • Outline of ECE 595 12. Outline of ECE 595 1147.5475475475475
    00:00/00:00
  • Textbook and References 13. Textbook and References 1552.9195862529195
    00:00/00:00
  • Pre-Requisites 14. Pre-Requisites 1648.2482482482483
    00:00/00:00
  • Reading List 15. Reading List 1814.7480814147482
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