Machine Learning
What Is Machine Learning? Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowi
Natural Language Processing - January 2012
About The Course We are offering this course on Natural Language Processing free and online to students worldwide, January - March 2012, continuing Stanford's exciting forays into large scale online instruction. Students have access to screencast lecture videos, are given quiz questions, assignments and exams, receive regular feedback on progress, and can participate in a discussion forum. Those w
Computer Security
Dan Boneh, John Mitchell and Dawn Song Class starts February 2012 The Course In this class you will learn how to design secure systems and write secure code. You will learn how to find vulnerabilities in code and how to design software systems that limit the impact of security vulnerabilities. We will focus on principles for building secure systems and give many real world examples. In addition, t
Cryptography I
See how employees at top companies are mastering in-demand skills Earn a career certificateAdd this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review Cryptography is an indispensable tool for protecting information in computer systems. In this course you will learn the inner workings of cryptographic systems and how to correctly use them in
Information Theory
About The Course Information theory is the science of operations on data such as compression, storage, and communication. It is among the few disciplines fortunate to have a precise date of birth: 1948, with the publication of Claude E. Shannon's paper entitled "A Mathematical Theory of Communication". Our course will explore the basic concepts of Information theory. It is a prerequisite for resea
Game Theory Online
Our introductory course Game Theory I runs continuously on Coursera. You can register for the course at this link. We've created a YouTube channel to serve as a permanently accessible home for all of the videos from Game Theory I and Game Theory II. This should make it easier for those who want to watch one of our lectures outside of one of our online course offerings. Popularized by movies such a
Probabilistic Graphical Models 1: Representation
Learn new concepts from industry experts Gain a foundational understanding of a subject or toolDevelop job-relevant skills with hands-on projectsEarn a shareable career certificate Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each o
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Algorithms
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