Machine Learning in Machine Learning

1. Machine Learning in
SurveyMonkey
Da Kuang
Machine Learning Engineer

2. 2
Agenda
•Our use cases (models) using machine learning
•The machine learning infrastructure and platform in SurveyMonkey
•Future work

3. 3
Survey Score Model

4. 4
Spammer Detection Model

5. 5
Churn Prediction Model

6. 6
ML Platform
Push the project
Build Package
Workspace GitHub
Scoring Nodes
Test locally
Push Package
Deploy Model
Package Server
Dataset Server

7. 7
Sample Data Science Project

8. 8
Our ML Engineering Stack
• Python
• Pyramid
• Gunicorn
• Nginx
• Ansible
• Docker

9. 9
Our Data Science Toolset
• Jupyter Notebook
• SKLearn
• Pandas
• Numpy
• Matplotlib
• Gensim
• FastText
• Spacy
• Tensorflow (TFLearn)
• XGBoost

10. 10
Future work
• Design DS project workflow to avoid training and prediction on different data source
• Data pipeline integration (Kafka, Cassandra, Spark Stream)
• Retraining Scheduling Engine

11. 11
We are hiring machine learning engineer in Ottawa.