By Rachel Schutt, Cathy O'Neil
Now that individuals are acutely aware that info could make the variation in an election or a enterprise version, information 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 e-book, in keeping with Columbia University’s creation to facts technological know-how type, 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 percentage new algorithms, tools, and types by means of proposing case stories and the code they use. If you’re acquainted with linear algebra, chance, and statistics, and feature programming adventure, this booklet is a perfect creation to facts science.
subject matters include:
• Statistical inference, exploratory info research, and the knowledge technological know-how procedure
• junk mail filters, Naive Bayes, and knowledge wrangling
• Logistic regression
• monetary modeling
• advice engines and causality
• facts visualization
• Social networks and information journalism
• info engineering, MapReduce, Pregel, and Hadoop
Doing information Science is collaboration among path teacher Rachel Schutt, Senior vice chairman of knowledge technology at information Corp, and information technological know-how advisor Cathy O’Neil, a senior information scientist at Johnson learn Labs, who attended and blogged concerning the course.
Read or Download Doing Data Science: Straight Talk from the Frontline PDF
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Additional resources for Doing Data Science: Straight Talk from the Frontline
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