Machine learning studies computer algorithms for learning to do stuff. We might, for instance, be interested in learning to complete a task, or to make accurate predictions, or to behave intelligently. The learning that is being done is always based on some sort of observations or data, such as examples (the most common case in this course), direct experience, or ...
Data Structures and Algorithms! The material for this lecture is drawn, in part, from! The Practice of Programming (Kernighan & Pike) Chapter 2! Jennifer Rexford! 2 Motivating Quotations! “Every program depends on algorithms and data structures, but few programs depend on the invention of brand new ones.”! -- Kernighan & Pike! “I will, in fact, claim that the ...
Bitcoin Magazine has a story about Princeton's Bitcoin MOOC on Coursera that starts September 4th.It's taught by Professor Arvind Narayanan of the Princeton Computer Science, along with Joe Bonneau, Ed Felten, and Andrew Miller.The course focuses on the computer science behind Bitcoin; it cuts through the hype and gets to the core of what makes ...
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