1. Katie Goldstein Christopher Bilz Brian Northern Michael Yang
Google Prediction
Katie Goldstein
Christopher Bilz
Brian Northern
Michael Yang

2. Agenda Product Overview Product Capabilities Business Applications
Reviews
Competitors
Demos
Questions

3. Google Prediction uses machine learning to analyze your data and make predictions
Powerful
API that provides pattern-matching and cloud-based machine learning models
Intuitive
Analyze historical data to gain insights, predict future trends and take action with features to your applications
Fast
Queries take less than 200ms, and even greater performance is available
Reliable
Data stored across multiple data centers using Google Cloud Storage
Flexible Pricing
Limited usage free for 1st 6 months, then you pay only for what you use

4. Capabilities and Features that propel Google’s Prediction API
Models tailored to your needs
Use of every data submitted
Real-time Updates
Cloud Integration

5. Google Predication Drives Innovation through Business Applications
Purchase Prediction
Recommendation Systems
Spam Comment Detection
Machine Learning and Pattern Matching
Seamless Integration of APIs
Provides Mobile Cloud-Based Support
App Integration
Integration of...
BigQuery
Fusion Tables
Data Mining & Data Visualization

6. Google Prediction API faces heavy Competition
Here are the results from “Kaggle credit challenge” to compare the 4 Machine Learning APIs (including Google Prediction API) that was widely shared in 2015,
Amazon
Google
PredicSis
BigML
Accuracy(AUC)
0.862
0.743
0.858
0.853
Time for training (s)
135 76 17 5
Time for Predictions (s)
188
369 1
Python Scikit-learn (Sklearn)
Apache Mahout
Shogun
MLlib

7. When compared to competitors, Google Prediction’s cons may outweigh the pros
1. Free trial with $300 credit over 60 days
2. Smart Auto-Fill Spreadsheets
3. Wide support for different internet languages
Cons
1. Last place on accuracy and prediction time during testing
2. Sample templates and hosted models are limited
3. Difficult to begin using efficiently even for experienced ML users

8. Demonstration of Google Prediction

9. Questions?

10. Sources https://cloud.google.com/prediction/
google-bigml-predicsis.html