A brief overview of common data analysis problems and algorithms.

1. Have Data? What now?! Hilary Mason @hmason

2. (Focused) Data == Intelligence

4. Text is MESSY

7. ME UGLY HAG

9. A Practical Approach – Path101 Human classification Data APIs Automatic classification model Example: Company Name External data from Open Calais, Freebase Based on industry , location , and type of job , we can differentiate between MS Volt (Microsoft) and Volt (Volt Information Sciences, Inc.)

10. SPAM sucks

11. Supervised Classification Text Feature Extractor Trained Classifier Cats Dogs Fire Training Data Feature Extractor

14. Clustering immunity ultrasound medical imaging medical devices thermoelectric devices fault-tolerant circuits low power devices

15. Hierarchical Clustering