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[MIT] 데이터 사이언스 기초강의시간12:09:19
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Chapter 1. Introduction and Optimization Problems
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- 2020.12.04
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- 28
강의시간40:56 -
Chapter 2. Optimization Problems
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- 2020.12.11
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- 9
강의시간48:03 -
Chapter 3. Graph-theoretic Models
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- 2020.09.09
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- 4
강의시간50:10 -
Chapter 4. Stochastic Thinking
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- 2021.01.06
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- 5
강의시간49:49 -
Chapter 5. Random Walks
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- 2018.12.03
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강의시간49:20 -
Chapter 6. Monte Carlo Simulation
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- 2020.11.08
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- 2
강의시간50:04 -
Chapter 7. Confidence Intervals
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- 2020.01.12
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강의시간50:28 -
Chapter 8. Sampling and Standard Error
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- 2021.01.09
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강의시간46:44 -
Chapter 9. Understanding Experimental Data (cont.)
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- 2018.12.10
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강의시간47:05 -
Chapter 10. Understanding Experimental Data (cont.)
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- 2020.01.25
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- 1
강의시간50:32 -
Chapter 11. Introduction to Machine Learning
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- 2019.04.28
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강의시간51:30 -
Chapter 12. Clustering
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- 2018.12.03
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강의시간50:39 -
Chapter 13. Classification
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- 2018.12.03
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강의시간49:53 -
Chapter 14. Classification and Statistical Sins
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- 2018.12.03
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강의시간49:24 -
Chapter 15. Statistical Sins and Wrap Up
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- 2020.09.21
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강의시간44:42
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