Katie Goldstein Christopher Bilz Brian Northern Michael Yang

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Presentation transcript:

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

Agenda Product Overview Product Capabilities Business Applications Reviews Competitors Demos Questions

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

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

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

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

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

Demonstration of Google Prediction

Questions?

Sources https://cloud.google.com/prediction/ http://www.kdnuggets.com/2015/05/machine-learning-wars-amazon- google-bigml-predicsis.html http://robusttechhouse.com/google-prediction-api-review/