By Rachel Schutt, Cathy O'Neil
Now that folks are conscious that info could make the variation in an election or a enterprise version, facts technological know-how as an career is gaining flooring. yet how are you going to start operating in a wide-ranging, interdisciplinary box that’s so clouded in hype? This insightful booklet, in keeping with Columbia University’s creation to facts technology category, tells you what you want to know.
in lots of of those chapter-long lectures, info scientists from businesses akin to Google, Microsoft, and eBay proportion new algorithms, equipment, and types through proposing case experiences and the code they use. If you’re accustomed to linear algebra, chance, and information, and feature programming adventure, this publication is a perfect creation to info science.
subject matters include:
• Statistical inference, exploratory info research, and the knowledge technology approach
• unsolicited mail filters, Naive Bayes, and information wrangling
• Logistic regression
• monetary modeling
• suggestion engines and causality
• info visualization
• Social networks and knowledge journalism
• information engineering, MapReduce, Pregel, and Hadoop
Doing facts Science is collaboration among direction teacher Rachel Schutt, Senior vice chairman of knowledge technological know-how at information Corp, and knowledge technology advisor Cathy O’Neil, a senior information scientist at Johnson study Labs, who attended and blogged in regards to the course.