This document discusses machine learning (ML) and how to get started with ML using Google Cloud services. It introduces common ML tasks like image analysis, natural language processing, and translation that can be solved using pre-trained Google Cloud APIs. For custom image classification using a user's own data, AutoML Vision is recommended. To build a chatbot using a custom model, DialogFlow is introduced. The document emphasizes that Google Cloud experts are available to help with any ML questions, problems or needs.

1. #EmergyaGoogleCloudDay
De cero a Machine
Learning:
un camino sencillo para llegar muy
lejos

2. What is Machine Learning (ML)?

3. What is Machine Learning (ML)?
Learning from
examples and experience

4. ML is a tech...
Based on how the
human brain learns
Solving problems
without explicitly
knowing the solution Enable systems that
improve over time

5. ML problem - The big picture
inputs
labels
predictions

6. inputs
labels
ML problem - The big picture

7. dog
ML problem - The big picture
predictions

8. ball predictions
dog
ML problem - The big picture

9. ML problem - The big picture

10. ML problem - The big picture
predictions
Giralda

11. Should I be an
expert to use ML?

12. ML usage in Google’s products

13. ML usage in Google’s products

14. ML usage in Google’s products

15. Let's take ML in a different way
and democratize it!

16. © 2017 Google Inc. All rights reserved.
Democratizing ML
From a general problem to a custom problem.
From a general prediction to a custom solution.

17. © 2017 Google Inc. All rights reserved.
From zero... ...to ML
Machine Learning APIs AutoML Custom model
App developers
Data scientists &
ML practitioners
@SRobTweets

18. What resources do you need to solve a ML problem?
Training
data
Model
code
Training + serving
infrastructure
Prediction
code
Time
Custom model: build
from scratch
@SRobTweets
Custom model: transfer
learning
AutoMLML APIs

19. © 2017 Google Inc. All rights reserved.
ML as an API
Use a pre-trained model with
a single REST API request

20. © 2017 Google Inc. All rights reserved.
Pre trained models for common ML tasks
@SRobTweets
Cloud Vision
Cloud Translation
Cloud Natural Language
Cloud Speech
Cloud Video Intelligence

21. Cloud Vision

22. Label & web
detection
OCR
Logo
detection
Explicit content
detection
Crop
hints
Landmark
detection

23. © 2017 Google Inc. All rights reserved.
AutoML
Use your own data to customize
a pre-trained API

24. AutoML Vision
AutoML Vision
Photo dataset
Train Deploy Serve
Generate predictions
with a REST API

25. AutoML Vision
Show case: let’s find Bruno!

26. How we trained
1) Using Bruno’s pictures (41 pictures)

27. How we trained
2) Using Bruno’s similar pictures (11 pictures)

28. Who is Bruno?

29. © 2017 Google Inc. All rights reserved.
Let’s work on your own
Build and train a custom model
with your own data

30. Natural Language Processing

31. What is NLP?

32. Extract
entities
Detect
sentiment
Analyze
syntax
Classify
content

33. Where can I use NLP?

34. Sentiment Analysis
Where can I use NLP?
Categorize content
Chatbots

35. Sentiment Analysis
Where can I use NLP?
Categorize content
Chatbots

36. Sentiment Analysis
Depends on how you say things
Depends on what you feel when you say it

37. Sentiment Analysis
Where can I use NLP?
Categorize content
Chatbots

38. How can I create a chatbot?

39. How can I create a chatbot?
DialogFlow

40. Dialogflow
Non Linear Dialogs
Linear Dialogs
Dialogs

41. Demo time!

42. Let’s recap!

43. © 2017 Google Inc. All rights reserved.
Key 1
If you need to solve common ML
problems like image analysis, NLP, or
translation, use pre-trained API

44. © 2017 Google Inc. All rights reserved.
Key 2
If you need to build an image classification
API trained on your own data, use AutoML
Vision.

45. © 2017 Google Inc. All rights reserved.
Key 3
If you need to build an human friendly
chat tool by using your own model, use
DialogFlow.

46. © 2017 Google Inc. All rights reserved.
And the most important one...

47. © 2017 Google Inc. All rights reserved.
If you have questions, problems or needs,
we can help you with them. Let’s chat!
And the most important one...

48. ¡Muchas Gracias!
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