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Udemy - The ML System Design Interview - Depth, Not Templates

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Udemy - The ML System Design Interview - Depth, Not Templates

Torrent Contents Size: 803.1 MB

Udemy - The ML System Design Interview - Depth, Not Templates
Bonus Resources.txt
TXT
102.4 B
Get Bonus Downloads Here.url
URL
204.8 B
~Get Your Files Here !
1 - The round
1. Welcome and what this course is for.mp4
MP4
10.9 MB
1. Welcome and what this course is for_en-US.srt
SRT
3.4 KB
2 - The eight-step skeleton
3 - Data and labels
10. 03-data-labels-03-label-fallacy.en.pdf
PDF
42.8 KB
10. The label fallacy when your label is another model's output.mp4
MP4
30.7 MB
10. The label fallacy when your label is another model's output_en-US.srt
SRT
9.1 KB
4 - Retrieval
11. 04-retrieval-01-candidate-generation.en.pdf
PDF
56.9 KB
11. Candidate generation two-tower, and the constraint that produced it.mp4
MP4
31.5 MB
11. Candidate generation two-tower, and the constraint that produced it_en-US.srt
SRT
8.7 KB
12. 04-retrieval-02-ann-and-cold-start.en.pdf
PDF
77.7 KB
12. ANN indexes, the recall dial, and cold start.mp4
MP4
27.1 MB
12. ANN indexes, the recall dial, and cold start_en-US.srt
SRT
8.7 KB
5 - Ranking
13. 05-ranking-01-model-ladder.en.pdf
PDF
63.8 KB
13. The model ladder, from logistic regression to GBDT to GBDT plus LR to a deep mod.mp4
MP4
34.6 MB
13. The model ladder, from logistic regression to GBDT to GBDT plus LR to a deep mod_en-US.srt
SRT
9 KB
14. 05-ranking-02-multitask-ranking.en.pdf
PDF
66.8 KB
14. Multi-task ranking, shared layers, per-engagement heads, and the combined loss.mp4
MP4
28.9 MB
14. Multi-task ranking, shared layers, per-engagement heads, and the combined loss_en-US.srt
SRT
8.9 KB
15. 05-ranking-03-crosses-and-calibration.en.pdf
PDF
64.6 KB
15. Feature crosses, DCN, and calibration, or why area under the curve can look fine.mp4
MP4
36.4 MB
15. Feature crosses, DCN, and calibration, or why area under the curve can look fine_en-US.srt
SRT
9.1 KB
6 - Serving and monitoring
16. 06-serving-01-batch-online-hybrid.en.pdf
PDF
54.3 KB
16. Batch, online, and hybrid inference, and the feature store underneath.mp4
MP4
29 MB
16. Batch, online, and hybrid inference, and the feature store underneath_en-US.srt
SRT
8.4 KB
17. 06-serving-02-offline-online-gap.en.pdf
PDF
50.1 KB
17. The diagnosis ladder excellent offline, flat in production.mp4
MP4
31.7 MB
17. The diagnosis ladder excellent offline, flat in production_en-US.srt
SRT
9.1 KB
18. 06-serving-03-continual-training.en.pdf
PDF
64.4 KB
18. Continual training, cadence, and the freshness argument.mp4
MP4
37.1 MB
18. Continual training, cadence, and the freshness argument_en-US.srt
SRT
8.8 KB
7 - Metrics
19. 07-metrics-01-offline-metrics.en.pdf
PDF
67.6 KB
19. Offline metrics choosing from what the score is used for.mp4
MP4
32.9 MB
19. Offline metrics choosing from what the score is used for_en-US.srt
SRT
8.6 KB
20. 07-metrics-02-online-metrics-guardrails.en.pdf
PDF
69.4 KB
20. The online readout primary metric, guardrails, and the domain metrics.mp4
MP4
39.1 MB
20. The online readout primary metric, guardrails, and the domain metrics_en-US.srt
SRT
9 KB
8 - The cases
21. 08-cases-01-news-feed.en.pdf
PDF
80.8 KB
21. Personalized news feed the full forty-five minutes.mp4
MP4
59.9 MB
21. Personalized news feed the full forty-five minutes_en-US.srt
SRT
12.1 KB
22. 08-cases-02-ads-click-prediction.en.pdf
PDF
74.3 KB
22. Ads click prediction the full design, and the four follow-ups that decide it.mp4
MP4
48.7 MB
22. Ads click prediction the full design, and the four follow-ups that decide it_en-US.srt
SRT
11.9 KB
23. 08-cases-03-harmful-content.en.pdf
PDF
79.9 KB
23. Harmful content detection designing when the labels do not exist yet.mp4
MP4
45.3 MB
23. Harmful content detection designing when the labels do not exist yet_en-US.srt
SRT
12.1 KB
24. 08-cases-04-the-catalog.en.pdf
PDF
43.8 KB
24. The catalog map any prompt to its nearest solved family.mp4
MP4
36.5 MB
24. The catalog map any prompt to its nearest solved family_en-US.srt
SRT
8.8 KB
25. 08-cases-05-timed-mocks.en.pdf
PDF
66.2 KB
25. Two timed mocks and the scoring rubric.mp4
MP4
39.9 MB
25. Two timed mocks and the scoring rubric_en-US.srt
SRT
10.1 KB
25. c4-next-steps.en.pdf
PDF
30.8 KB
8. 03-data-labels-01-where-labels-come-from.en.pdf
PDF
39.9 KB
8. Where labels come from implicit, explicit, and negative engagement.mp4
MP4
24.5 MB
8. Where labels come from implicit, explicit, and negative engagement_en-US.srt
SRT
8.7 KB
9. 03-data-labels-02-negative-sampling.en.pdf
PDF
48.9 KB
9. Negative sampling exposure bias, position bias, dedupe, and the ratio.mp4
MP4
28.3 MB
9. Negative sampling exposure bias, position bias, dedupe, and the ratio_en-US.srt
SRT
8.7 KB
5. 02-the-skeleton-01-eight-steps.en.pdf
PDF
47.9 KB
5. The 8-step spine, and the second layer beneath every step.mp4
MP4
28.4 MB
5. The 8-step spine, and the second layer beneath every step_en-US.srt
SRT
8.3 KB
6. 02-the-skeleton-02-differentiator-doctrine.en.pdf
PDF
47.7 KB
6. The differentiator doctrine open by naming what makes this system different.mp4
MP4
27.3 MB
6. The differentiator doctrine open by naming what makes this system different_en-US.srt
SRT
8.3 KB
7. 02-the-skeleton-03-worked-pass.en.pdf
PDF
44.7 KB
7. Worked pass the whole spine in ten minutes, on a prompt you have not seen.mp4
MP4
25.3 MB
7. Worked pass the whole spine in ten minutes, on a prompt you have not seen_en-US.srt
SRT
8.1 KB
2. 01-the-round-01-format-and-scoring.en.pdf
PDF
38.6 KB
2. The round variants, who asks it, and what the scorecard says.mp4
MP4
23.8 MB
2. The round variants, who asks it, and what the scorecard says_en-US.srt
SRT
8.2 KB
3. 01-the-round-02-time-budget.en.pdf
PDF
40.5 KB
3. The time budget the senior allocation, live self-monitoring, and recovery.mp4
MP4
20.2 MB
3. The time budget the senior allocation, live self-monitoring, and recovery_en-US.srt
SRT
7.1 KB
4. 01-the-round-03-clarifying-questions.en.pdf
PDF
43.1 KB
4. Clarifying questions the first scored answer.mp4
MP4
23.2 MB
4. Clarifying questions the first scored answer_en-US.srt
SRT
8.1 KB

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