The document discusses machine learning (ML) and its capabilities, emphasizing learning from examples rather than rules. It outlines various ML APIs available in the cloud, including those for vision, translation, speech, and natural language, with specific examples and use cases. Additionally, it includes demonstrations of different API calls using Python.

1. Machine Learning APIs
by Example
Gabriela D'Ávila Ferrara
Developer Advocate
@gabidavila | gabi.dev

2. What is Machine
Learning?
@gabidavila

3. Solving problems without
specific rules.
Learning by example and
experience.
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4. "Machine learning is a
thing-labeler, essentially"
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5. Exercise
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6. How would you identify
the following images?
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7. @gabidavila

8. @gabidavila

10. Dog or
muffin?
source: boredpanda.com

11. And this?
source: boredpanda.com

12. @gabidavila
ML is/helps with...
Solving problems
without explicitly
knowing the solution
Loosely based on
how the human
brain learns
Enable systems
that improve
over time

13. Available ML APIs
Cloud Natural
Language
Cloud
Vision
Cloud
Translation
Cloud
Speech
Cloud Video
Intelligence
#WOCinTech
@gabidavila

14. 14
@SRobTweets
Cloud Vision

15. Complex image detection
with a simple REST request.
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16. Label & web detection OCR Logo detection
Explicit content detectionCrop hintsLandmark detection

17. Demo
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18. Cloud
Vision
API call using Python
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19. Cloud Vision
in production:
GIPHY
Access for more information:
Engineering.giphy.com
@GIPHYEng
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20. Cloud
Translation

21. Translate text into 100+
languages.
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22. Translate text Detect language

23. Cloud Vision & Cloud Translation

24. Demo
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25. Cloud
Translate
API call using Python
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26. Cloud
Natural
Language

27. Understand text with a
simple REST API request.
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28. Extract entities Detect
sentiment
Analyze syntax Classify content

29. Entities
I went to the ⟨restaurant⟩2
and ordered
⟨sushi⟩1
. The ⟨food⟩3
was really good.
Localization
2. restaurant
Consumer Good
1. sushi
Other
3. food
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30. Sentiment
score magnitude
Document 0.3 0.9
I went to the restaurant and ordered sushi. -0.1 0.1
The food was really good. 0.8 0.8
Score Range -1.0 — -0.25 -0.25 — 0.25 0.25 — 1.0
Negative Neutral Positive
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31. Syntax Analysis
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32. @gabidavila

33. Content Classification
Rafael Montero Shines in Mets’ Victory Over the Reds. Montero, who
was demoted at midseason, took a one-hitter into the ninth inning as
the Mets continued to dominate Cincinnati with a win at Great
American Ball Park.
{ categories:
[
{
name: '/Sports/Team
Sports/Baseball',
confidence: 0.99
}
]
}
@gabidavila

34. Demo
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35. Get to know
more about
the APIs
Vision: cloud.google.com/vision
Video: cloud.google.com/video-intelligence
Speech: cloud.google.com/speech
Translation: cloud.google.com/translation
Natural Language: cloud.google.com/natural-language
Thank you!
@gabidavila
gabi.dev
@gabidavila