This presentation shares the basic concepts on Machine Learning; the tasks and processes involved. It talks about several Google products that you can use to integrate the power of Machine Learning into your projects.

1. Machine Learning using
Google Technologies
Ralph Vincent Regalado
CEO and Founder, Senti TechLabs
Community Manager, GDG Philippines

2. Machine Learning

3. ”machine learning is a subfield of
computer science. it gives computers
the ability to learn without being
explicitly programmed.”
-Arthur Samuel

4. Let’s build!

5. Let’s build!
if(color is ‘red’)
fruit = apple
else if(color is ‘orange’)
fruit = orange
if(shape is ‘heart’)
fruit = apple
else if(shape is ‘round’)
fruit = orange

6. Let’s build!

7. Let’s build!
if(color is ‘red’ or color is ‘green’)
fruit = apple
else if(color is ‘orange’)
fruit = orange
if(shape is ‘heart’)
fruit = apple
else if(shape is ‘round’)
fruit = orange

8. Let’s build!

9. MAY THE BRUTE FORCE BE WITH YOU?

10. ”machine learning is a subfield of
computer science. it gives computers
the ability to learn without being
explicitly programmed.”
-Arthur Samuel

11. “a computer program is said to learn
from an experience E with respect to
some task T and some performance
measure P , if its performance on T as
measured by P , improves by some
experience E. “
- Tom Mitchel

12. Task + Performance Measure + Experience

13. Learning to Play Checkers
Task:
?
Performance Measure:
?
Experience:
?

14. Learning to Play Checkers
Task:
Playing checkers
Performance Measure:
Percent of games won against opponent
Experience:
Playing practice games against itself

15. Machine Learning Workflow
Explore
Dataset
Choose a
Model
Build
Model
Testing

16. Machine Learning Workflow
Explore
Dataset
Choose a
Model
Build
Model
Testing
pandas linear regression
logistic regression
deep neural network
tensorflow

17. Machine Learning Tasks

22. Google Cloud Platform frees
you from the overhead of
managing infrastructure,
provisioning servers and
configuring networks. To let
innovators innovate and let
coders, well, just cod
cloud.google.com

23. Google Cloud Platform ML
Services:
- Machine Learning
- Translate API
- Speech API
- Natural Language API
- Vision API
https://codelabs.developers.google.com/
codelabs/cloud-vision-nodejs

24. TensorFlow is an Open Source
Software Library for Machine
Intelligence.
Based on deep learning
algorithm.
www.tensorflow.org

25. TensorFlow Models:
- Inception
- Namignizer
- SyntaxNet
- Transformer
https://github.com/tensorflow/
https://codelabs.developers.google.com/
codelabs/tensorflow-for-poets

26. Google Assistant SDK lets you
add hotword detection, voice
control, natural language
understanding and Google's
smarts to your devices.
https://developers.google.com/assistant/
sdk/

27. What now?

28. CRUD
Applications

29. A new level of applications

30. INTELLIGENT
APPLICATIONS

31. Expert Systems

32. Emotion Recognition

33. Business Intelligence

34. Robotics

35. ntuit.ai
Empowering organizations to drive
value from A!i"cial Intelligence
www.ntuit.ai

36. Localised Social Media
Analytics Platform
www.senti.com.ph

37. Machine Learning using
Google Technologies
Ralph Vincent Regalado
CEO and Founder, Senti TechLabs
Community Manager, GDG Philippines