Class Central - Summary of Stanford's free online courses. Students.cs.byu.edu/~cs470ta/goodrich/fall2006/lectures/ParticleFilterTutorial.pdf. 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 knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. Intro to AI - Announcements. Ayad AlMashhadani - Google+ - Stanford is offering new awesome online courses Stanford… Stanford is offering new awesome online coursesStanford University has created a set of 11 new awesome courses with weekly lectures, homework assignments, quizzes and exams for free to everyone, starting in the beginning of 2012. Technology Entrepreneurship by Chuck Eesley: The Lean Launchpad another entrepreneurship course by Steve Blank, a silicon valley serial entrepreneur: Human-Computer Interaction about the principles of visual design, user experience etc for creating awesome user interfaces: Software Engineering for Software as a Service (by UC Berkeley ) where you get hands-on experience with Agile development with Ruby on Rails: Natural Language Processing about recognizing human language in speach, emails, tweets etc: Game Theory about mathematical modeling of games, political campaigns, stock markets etc: