ECE 595ML Lecture 22.2: Is Learning Feasible?

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 22.2: Is Learning Feasible?," https://nanohub.org/resources/32755.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 22.2: Is Learning Feasible?
  • Lecture 22.2: Is Learning Feasible? 1. Lecture 22.2: Is Learning Feas… 0
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  • Outline 2. Outline 8.3083083083083089
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  • Is Learning Feasible? 3. Is Learning Feasible? 33.933933933933936
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  • Example 4. Example 194.36102769436104
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  • Example 5. Example 360.326993660327
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  • Possibility 1 6. Possibility 1 605.33867200533871
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  • Possibility 2 7. Possibility 2 633.83383383383386
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  • All the Possibilities 8. All the Possibilities 665.76576576576576
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  • The Power of Probability 9. The Power of Probability 821.554888221555
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