Machine Learning, Data Science, Big Data

A presentation I did on Machine Learning, Data Science, Big Data.

Transcript

1. Machine Learning, Data Science, Big Data
2. Computer Science Artificial Intelligence Machine Learning
3. Computer Science Artificial Intelligence Machine Learning A subfield of computer science and artificial intelligence that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions. ! — Wikipedia Examples! ! • OCR • Face detection • Spam filtering • Natural language comprehension • Fraud Detection • Medical diagnosis • Weather prediction • Stock market prediction • Real estate pricing !
4. "Data Science Venn Diagram" by Drew Conway - Own work. Licensed under Creative Commons Attribution-Share Alike 3.0 via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:Data_Science_Venn_Diagram.png#mediaviewer/File:Data_Science_Venn_Diagram.png
5. "Data Science Venn Diagram" by Drew Conway - Own work. Licensed under Creative Commons Attribution-Share Alike 3.0 via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:Data_Science_Venn_Diagram.png#mediaviewer/File:Data_Science_Venn_Diagram.png T h e s t u d y o f t h e generalizable extraction of knowledge from data ! — Wikipedia
6. Machine Learning Big Data BigML
7. Machine Learning! ! • Language • Speech • Translation • Visual Processing • Deep Learning (cat recognition) • Spam (classification) • Driverless Car • Data Center Optimization ! Tools! ! • Prediction API • BigTable, BigQuery, Map/Reduce
8. Machine Learning! ! • Photo tagging (image recognition) • Ranking articles (recommender system) • Suggest friends (recommender system) • Place advertisements (recommender system) • Facebook Graph Search (natural language processing) ! Tools! ! • Cassandra • Hadoop • Torch7 (Lua)
9. • Azure (P.a.a.S) • Machine Learning (aka SQL Server Predictive Analytics for the Cloud)
10. http://research.microsoft.com/en-us/groups/mldept/
11. • Predicting product suggestions (recommendations) • Product demand (forecasting) • Explore Big Data to automatically extract patterns (large-scale machine learning and pattern recognition) Machine Learning Tools AWS, EC2, SimpleDB • Recommender system AWS, EC2, CUDA