Description Game-changing products come from all sorts of companies, and often reshape industries overnight. But what do these products have in common? They’re all created and crafted by product managers who focus on the right problems, understand their audience, make smart decisions and prioritize features that excite their customers. In this introductory course you’ll learn to master the product
Logistics Lectures: are on Tuesday/Thursday 4:30 PM - 5:50 PM Pacific Time in NVIDIA Auditorium. The lectures will also be livestreamed on Canvas via Panopto. Lecture videos for enrolled students: are posted on Canvas (requires login) shortly after each lecture ends. Unfortunately, it is not possible to make these videos viewable by non-enrolled students. Publicly available lecture videos and vers
By David Venturi A year and a half ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master’s program using online resources. I realized that I could learn everything I needed through edX, Coursera, and Udacity instead. And I could learn it faster, more efficiently, and for a fraction of the cost. I’m almost finished now. I’ve taken m
Please see cs224n.stanford.edu for the current (Winter 2017) version of this class. Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement, email
Deep Learning: Intelligence from Big Data Tue Sep 16, 2014 6:00 pm - 8:30 pm Stanford Graduate School of Business Knight Management Center – Cemex Auditorium 641 Knight Way, Stanford, CA A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant val
Course Logistics Lectures: Tuesday/Thursday 12:00-1:20PM Pacific Time at NVIDIA Auditorium. Lecture Videos: Will be posted on Canvas shortly after each lecture. These are unfortunately only accessible to enrolled Stanford students. Office Hours: We will be holding a mix of in-person and Zoom office hours. You can find a full list of times and locations on the calendar. Contact: Announcements and a
Professor of Computer Science and member of the Data Science Institute at Columbia University. Head of Research at a16z crypto. Research interests: Design, analysis, applications, and limitations of algorithms. Game theory and microeconomics, especially as applied to networks, auctions, and blockchains/web3. Address: Department of Computer Science Columbia University 500 West 120th Street, Room 45
(May 23, 2012) Paul Buchheit leads a discussion about what he believes to be the future of venture capital. Paul discusses the Y Combinator model that acts as an incubator for early-stage startups and contrasts it to the traditional model for venture capital. Stanford University: http://www.stanford.edu/ Stanford School of Engineering: http://soe.stanford.edu/ Stanford Computer Systems Colloqui
(November 16, 2011) Amr Awadallah introduces Apache Hadoop and asserts that it is the data operating system of the future. He explains many of the data problems faced by modern data systems while highlighting the benefits and features of Hadoop. Stanford University: http://www.stanford.edu/ Stanford School of Engineering: http://engineering.stanford.edu/ Stanford Electrical Engineering Departm
M.A. in International Relations, Security, and Strategy
Through BerkeleyX, a partnership between UC Berkeley and EdX, you can take a set of three courses, covering the introductory and advanced material in the book respectively, called Agile SaaS Development. More than 20,000 students earned certificates from these online courses since 2012, and more than 100,000 have completed parts of the courses.
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