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Wednesday, August 31, 2011

Full Stanford University Courses

Hey everyone, this month I have cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 latest Stanford university full courses with tens of lectures in each.

They include: Artificial Intelligence, Databases, Machine Learning, iPhone Application Development and Programming Parallel Processors.


Introduction to Artificial Intelligence (CS221)


Course description:
This course is taught from Peter Norvig's Artificial Intelligence, A Modern Approach book. CS221 is cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 introductory course into cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 field of Artificial Intelligence at Stanford University. It covers basic elements of AI, such as knowledge representation, inference, machine learning, planning and game playing, information retrieval, and computer vision and robotics. CS221 is a broad course aimed to teach students cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 very basics of modern AI. It is prerequisite to many ocá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r, more specialized AI classes at Stanford University.


Course topics:
Overview of AI. Statistics, Uncertainty, Bayes networks. Machine learning. Hidden Markov models. Bayes filters. Markov decision process. Reinforcement learning. Adversarial planning. Belief space planning. Logic and logical problem solving. Image processing and computer vision. Robotics. Natural language processing. Information retrieval.


Course professors:
Peter Norvig is Director of Research at Google Inc. He is also a Fellow of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 American Association for Artificial Intelligence and cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Association for Computing Machinery.


Sebastian Thrun is a Research Professor of Computer Science at Stanford University, a Google Fellow, a member of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 National Academy of Engineering and cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 German Academy of Sciences. Thrun is best known for his research in robotics and machine learning.


Introduction to Databases



Course description:
This online course covers database design and cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 use of database management systems for applications. It includes extensive coverage of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 relational model, relational algebra, and SQL - cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 standard language for creating, querying, and modifying relational databases. It also covers XML data including DTDs and XML Schema for validation, and cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 query and transformation languages XPath, XQuery, and XSLT. The course includes database design in UML, and relational design principles based on dependencies and normal forms. Many additional key database topics from cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 design and application-building perspective are also covered: indexes, views, transactions, authorization, integrity constraints, triggers, on-line analytical processing (OLAP), and emerging "NoSQL" systems.

Course professor:
Professor Jennifer Widom is cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Fletcher Jones Professor and Chair of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Computer Science Department at Stanford University. She received her Bachelors degree from cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Indiana University School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 IBM Almaden Research Center before joining cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management.

Machine Learning


Course description:
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365ory (bias/variance tradeoffs; VC cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365ory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.


Course topics:
Introduction. Basic concepts in ML. Supervised learning. Supervised learning setup. LMS. Logistic regression. Perceptron. Exponential family. Generative learning algorithms. Gaussian discriminant analysis. Naive Bayes. Support vector machines. Model selection and feature selection. Ensemble methods: Bagging, boosting, ECOC.
Evaluating and debugging learning algorithms. Learning cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365ory. Bias/variance tradeoff. Union and Chernoff/Hoeffding bounds. VC dimension. Worst case (online) learning. Practical advice on how to use learning algorithms. Unsupervised learning. Clustering. K-means. EM. Mixture of Gaussians. Factor analysis. PCA. MDS. pPCA. Independent components analysis (ICA). Reinforcement learning and control. MDPs. Bellman equations. Value iteration and policy iteration. Linear quadratic regulation (LQR). LQG. Q-learning. Value function approximation. Policy search. Reinforce. POMDPs.


Course professor:
Professor Andrew Ng is Director of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Stanford Artificial Intelligence Lab, cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 main AI research organization at Stanford, with 20 professors and about 150 students/post docs. At Stanford, he teaches Machine Learning, which with a typical enrollment of 350 Stanford students, is among cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 most popular classes on campus. His research is primarily on machine learning, artificial intelligence, and robotics, and most universities doing robotics research now do so using a software platform (ROS) from his group.


iPhone Application Development


Course description:
Tools and APIs required to build applications for cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 iPhone platform using cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 iPhone SDK. User interface designs for mobile devices and unique user interactions using multitouch technologies. Object-oriented design using model-view-controller pattern, memory management, Objective-C programming language. iPhone APIs and tools including Xcode, Interface Builder and Instruments on Mac OS X. Ocá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r topics include: core animation, bonjour networking, mobile device power management and performance considerations. Prerequisites: C language and programming experience at cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 level of 106B or X. Recommended: UNIX, object-oriented programming, graphical toolkits Offered by Stanford’s School of Engineering, cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 course will last ten weeks and include both cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 lecture videos and PDF documents.



Programming Massively Parallel Processors with CUDA


Course description:
Virtually all semiconductor market domains, including PCs, game consoles, mobile handsets, servers, supercomputers, and networks, are converging to concurrent platforms. There are two important reasons for this trend. First, cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se concurrent processors can potentially offer more effective use of chip space and power than traditional monolithic microprocessors for many demanding applications. Second, an increasing number of applications that traditionally used Application Specific Integrated Circuits (ASICs) are now implemented with concurrent processors in order to improve functionality and reduce engineering cost. The real challenge is to develop applications software that effectively uses cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se concurrent processors to achieve efficiency and performance goals. The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se processors will require in-depth knowledge about parallel programming principles, as well as cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 parallelism models, communication models, and resource limitations of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se processors. The target audiences of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 course are students who want to develop exciting applications for cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se processors, as well as those who want to develop programming tools and future implementations for cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se processors.



Enjoy cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se lectures and see you next time!

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