sequence: videos

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1. 1▶CENG 465 - Intro to Bioinformatics - Profile Hidden Markov Models #2CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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2. 2▶CENG 465 - Intro to Bioinformatics - Position Specific Scoring Matrices #2, Hidden Markov Models #1CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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3. 3▶CENG 465 - Intro to Bioinformatics - Profiles, Position Specific Scoring MatricesCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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4. 4▶CENG 465 - Intro to Bioinformatics - Suffix Trees, Suffix ArraysCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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5. 5▶CENG 465 - Intro to Bioinformatics - Statistical Significance Computation Example, Suffix TreesCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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6. 6▶CENG 465 - Intro to Bioinformatics - Statistical Significance of Alignments, Scoring Matrices #2CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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7. 7▶CENG 465 - Intro to Bioinformatics - Statistical Significance of Alignments, Scoring MatricesCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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8. 8▶CENG 465 - Intro to Bioinformatics - BLAST and Statistical Significance of AlignmentsCENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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9. 9▶CENG 465 - Intro to Bioinformatics - Pairwise Sequence Alignment #4CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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10. 10▶CENG 465 - Intro to Bioinformatics - Pairwise Sequence Alignment #3CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)Notes
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11. 11▶Lecture 13: Limits of FunctionsMIT 18.100A Real Analysis, Fall 2020Notes
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12. 12▶Lecture 8: The Squeeze Theorem and Operations Involving Convergent SequencesMIT 18.100A Real Analysis, Fall 2020Notes
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13. 13▶Lecture 11: Absolute Convergence and the Comparison Test for SeriesMIT 18.100A Real Analysis, Fall 2020Notes
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14. 14▶Lecture 6: The Uncountabality of the Real NumbersMIT 18.100A Real Analysis, Fall 2020Notes
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15. 15▶Lecture 15: The Continuity of Sine and Cosine and the Many Discontinuities of Dirichlet's FunctionMIT 18.100A Real Analysis, Fall 2020Notes
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16. 16▶Lecture 10: The Completeness of the Real Numbers and Basic Properties of Infinite SeriesMIT 18.100A Real Analysis, Fall 2020Notes
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17. 17▶Lecture 12: The Ratio, Root, and Alternating Series TestsMIT 18.100A Real Analysis, Fall 2020Notes
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18. 18▶Lecture 14: Limits of Functions in Terms of Sequences and ContinuityMIT 18.100A Real Analysis, Fall 2020Notes
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19. 19▶Lecture 5: The Archimedian Property, Density of the Rationals, and Absolute ValueMIT 18.100A Real Analysis, Fall 2020Notes
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20. 20▶Lecture 3: Cantor's Remarkable Theorem and the Rationals' Lack of the Least Upper Bound PropertyMIT 18.100A Real Analysis, Fall 2020Notes
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21. 21▶8 deep neural networks are our friendsLxMLS 2016Notes
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22. 22▶9 memory networks for language understandingLxMLS 2016Notes
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23. 23▶6 syntax and parsing ILxMLS 2016Notes
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24. 24▶5 learning structured predictorsLxMLS 2016Notes
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25. 25▶7 turbo parser redux from dependencies to constituentsLxMLS 2016Notes
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26. 26▶3 sequence modelsLxMLS 2016Notes
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27. 27▶2 introduction to machine kearning linear learnersLxMLS 2016Notes
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28. 28▶4 machine translation as sequence modellingLxMLS 2016Notes
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29. 29▶Lecture 7: From alignment graphs to formal dynamic programmingFundamental Algorithms in BioinformaticsNotes
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30. 30▶Lecture 14: BLAST IFundamental Algorithms in BioinformaticsNotes
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31. 31▶Lecture 13: Probability of a complete query match in a databaseFundamental Algorithms in BioinformaticsNotes
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32. 32▶Lecture 12: Expected longest common substring IIFundamental Algorithms in BioinformaticsNotes
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33. 33▶Lecture 8: Sequence alignment using dynamic programming - continuedFundamental Algorithms in BioinformaticsNotes
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34. 34▶Lecture 9: Local sequence alignmentFundamental Algorithms in BioinformaticsNotes
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35. 35▶Lecture 6: Computing similarity using an alignment graphFundamental Algorithms in BioinformaticsNotes
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36. 36▶Lecture 11b: Expected Length of the Longest Common SubstringFundamental Algorithms in BioinformaticsNotes
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37. 37▶Lecture 10: End-gap-free alignment and whole-genome shotgun sequencingFundamental Algorithms in BioinformaticsNotes
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38. 38▶Lecture 4: Extending the model of sequence similarityFundamental Algorithms in BioinformaticsNotes
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