Machine Learning and Big Data Magic with Node.js and Google Cloud

on YouTube ↗59m

" summary

Shows how to call Google Cloud's cloud vision API to label faces, detect landmarks and logos (demo uploads a koala, creates thumbnails, saves JSON), use natural language API for entity and sentiment (entity-level sentiment, emoji/adjective counts from ~148k tweets), transcribe speech in 110+ languages with timestamps, and index video via the video intelligence API. Also queries GitHub public data (over 2 TB, ~300M JS files), parsing package.json across 2.2 TB in 238s.

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" chapters (42)

1. 0:00Intro
2. 1:48What is Machine Learning
3. 5:51Vision API
4. 6:28Vision Detections
5. 8:35Elliott the Dragon
6. 10:06Face Detection
7. 11:35Landmark Detection
8. 13:00Crop Hints
9. 13:49Web Annotation
10. 16:09Cloud Functions
11. 19:25Demo
12. 23:21Natural Language API
13. 28:10Entity Based Sentiment
14. 29:49Customer Feedback Platform
15. 31:13Syntax Analysis Demo
16. 36:13Speech API
17. 37:37Time Offsets
18. 38:25Azar
19. 39:02Socks
20. 39:32Nodejs
21. 39:46BigQuery
22. 40:07Did this work
23. 40:34JSON request
24. 42:44Language code
25. 43:31Mic
26. 44:10Sweaty Head
27. 44:32Video Intelligence API
28. 45:21Video Intelligence Demo
29. 47:44Baseball Demo
30. 49:12Video API Demo
31. 50:05Query Emoji
32. 50:24Musical Note Emoji
33. 50:39Demo App Architecture
34. 51:55Label Detection
35. 52:43Recap
36. 52:56BigQuery Table
37. 53:35JavaScript Files
38. 55:28Query
39. 56:11JSON on GitHub
40. 56:44Top Express
41. 57:03Full Query
42. 57:29Outro

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