Transcript Table
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Results of Search: 176,291 lines — Showing 16501 - 16520.
| Course | Level | Date | Clip# | Line | Interlocutor | Content |
|---|---|---|---|---|---|---|
| Oral Assessments | Graduate | 2019-08-16 | 4 | 56 | S01 | so there are so many method (0.5) hm in numerical |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 57 | S01 | optimization↗ |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 58 | UNK | (.) |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 59 | S01 | and I I I will not (.) go into the detail but (.) I will |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 60 | S01 | (0.4) first give you some (0.6) terms↘ |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 61 | UNK | (0.9) |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 62 | S01 | one is a t- newton→ (0.4) hm::: gradient↘ |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 63 | UNK | (4.7) |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 64 | S01 | ⁇°is°⁇ |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 65 | UNK | (4.7) |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 66 | S01 | ⁎and⁎ |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 67 | UNK | (0.8) |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 68 | S01 | xxx |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 69 | UNK | (5.5) |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 70 | S01 | so (.) in (.) this (.) lecture↗ I will not ⁇be able to tell⁇ |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 71 | S01 | that↘ but I will (0.3) like talk about the advantages |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 72 | S01 | and disadvanatges of this xxx ⁇method⁇↘ |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 73 | UNK | (0.7) |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 74 | S01 | so (2.3) as (0.5) we m- (0.3) we mention for the (0.4) xxx |
| Oral Assessments | Graduate | 2019-08-16 | 4 | 75 | S01 | numerical optimization method to uh like xxx the (0.9) |