Serverless Machine Learning

1. Serverless Machine Learning with GCP
Dao Tuan Vu - vu@dyno.vn
CTO DYNO - EWAY JSC

2. About Me
- CTO DYNO - Eway JSC
- Experience on backend, database, big data and
machine learning

3. About Eway
- DYNO.vn: Big data services
- AdFlex.asia: Top 1 CPA network in Viet Nam
- MasOffer.net: Top 1 CPS network in Viet Nam
- iHR: Big data for recruiting
- Kalapa: Fintech AI
- eDoctor.io: Platform for healthcare

4. Machine Learning Flow
1. Understanding of business problem
2. Problem formalization
3. Data collecting
4. Data preprocessing
5. Modeling
6. Way to evaluate model in real life
7. Way to deploy model

5. Machine Learning Flow
1. Understanding of business problem
2. Problem formalization
3. Data collecting
4. Data preprocessing
5. Modeling
6. Way to evaluate model in real life
7. Way to deploy model

6. Cloud Vision

7. Cloud Vision

8. Translate API

9. Other services

10. Machine Learning Flow
1. Understanding of business problem
2. Problem formalization
3. Data collecting
4. Data preprocessing
5. Modeling
6. Way to evaluate model in real life
7. Way to deploy model

11. If you want to customize model

12. AutoML
https://towardsdatascience.com/google-cloud-automl-vision-for-medical-image-classification-76dfbf12a77e

13. AutoML

14. Develop a Machine Learning Model From Scratch?

15. Developing Model

16. Developing Model

17. Develop a Machine Learning Model From Scratch?

18. AI platform (ML engine)

19. Machine Learning Flow
1. Understanding of business problem
2. Problem formalization
3. Data collecting
4. Data preprocessing
5. Modeling
6. Way to evaluate model in real life
7. Way to deploy model

20. Data processing

21. Exploratory Data Analysis
1. Cleansing: Checking for problems with the collected data, such as missing
data or measurement error, data type of columns, etc.)
2. Defining questions: Identifying relationships between variables that are
particularly interesting or unexpected.

22. Exploratory Data Analysis

23. More data?

24. Datalab + Bigquery

25. Datalab + Bigquery

26. Datalab + Bigquery

27. Scaling with Dataflow

28. Machine Learning Flow
1. Understanding of business problem
2. Problem formalization
3. Data collecting
4. Data preprocessing
5. Modeling
6. Way to evaluate model in real life
7. Way to deploy model

29. Dataprep
1. Assessing your data quality
2. Resolving any issues uncovered
3. Validating big data

30. Data Profiling

31. Data Profiling

32. Data Profiling

33. Resolve issues

34. Resolve issues

35. Extract data

36. And more ...

37. Validate big data

38. Machine Learning Flow

39. Demo

40. https://eway.vn/tuyen-dung
jobs@eway.vn

41. Thank you