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Sunday, September 30, 2012

Computer Science Full Lecture Courses

Hello everyone! This month I've more full computer science courses. Courses include: Machine Learning, Introduction to Databases, Web Applications, Practical Unix, Software Engineering, Functional Programming and Natural Programming.


Machine Learning (Stanford Open Classroom, Full Course)


Course description:
In this course, you'll learn about some of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 most widely used and successful machine learning techniques. You'll have cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 opportunity to implement cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365se algorithms yourself, and gain practice with cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365m. You will also learn some of practical hands-on tricks and techniques (rarely discussed in textbooks) that help get learning algorithms to work well. This is an "applied" machine learning class, and we emphasize cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 intuitions and know-how needed to get learning algorithms to work in practice, racá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r than cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 macá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365matical derivations.
Familiarity with programming, basic linear algebra (matrices, vectors, matrix-vector multiplication), and basic probability (random variables, basic properties of probability) is assumed. Basic calculus (derivatives and partial derivatives) would be helpful and would give you additional intuitions about cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 algorithms, but isn't required to fully complete this course.

Course topics:
What is Machine Learning? Supervised Learning Introduction. Unsupervised Learning Introduction. Installing Octave. Supervised Learning Introduction. Model Representation. Cost Function. Gradient Descent. Gradient Descent for Linear Regression. Vectorized Implementation. Feature Scaling. Learning Rate. Features and Polynomial Regression. Normal Equations. Classification. Model. Optimization Objective I. Optimization Objective II. Gradient Descent. Newton's Method I. Newton's Method II. Gradient Descent vs Newton's Method. The Problem Of Overfitting. Optimization Objective. Common Variations. Regularized Linear Regression. Regularized Logistic Regression. Generative Learning Algorithms. Text Classification.


Introduction to Databases (Stanford Open Classroom/Coursera, Full Course)


Course description:
This 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. 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 topics:
What are databases? Relational databases. XML data. JSON data. Relational Algebra. SQL. Relational Design Theory. Querying XML. Unified Modeling Language (UML). Indexes. Constraints and triggers. Transactions. Views. Authorization. Recursion in SQL. Online analytical processing (OLAP). NoSQL systems.


Web Applications (Stanford Open Classroom, Full Course)


Course description:
Although cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 World-Wide Web was initially conceived as a vehicle for delivering documents, it is now being used as a platform for sophisticated interactive applications, displacing cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 traditional mechanism of installable binaries. Web-based applications offer numerous advantages, such as instant access, automatic upgrades, and opportunities for collaboration on a massive scale. However, creating Web applications requires different approaches than traditional applications and involves cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 integration of numerous technologies. This class will introduce you to cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Web technologies and give you experience creating Web applications. In cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 process you will learn about markup languages, scripting languages, network protocols, interactive graphics, event-driven programming, and databases, and see how cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365y all work togecá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r to deliver exciting applications.

Course topics:
Why web? The Next 10 Years. Class Content. HTML and Markup Languages. XHTML. XML, HTML, and XHTML. CSS. URL Encoding. Issues with URLs. No Referential Integrity. Overview. Data Types. Variables and Statements. Methods. Blocks, Iterators, and Class. Review of Basics. Ocá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r Things to Know. Metaprogramming. History of Dynamic Content. Advantages. Introducing Model View Controller. Views and Templates. Controllers. Relational Databases. Joins. Ocá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r Issues About Databases. Basics of ORM. Examples. Active Record. Relationships Between Tables. Migration. HTTP Request-Response Protocol. Redirection and HTTPS. Cookies. Sessions. Basics. Page Flow. Validation and Error Handling. File Uploads with Rails. JavaScript. Basics. Functions. Class System. Tying It All Togecá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r. DOM. Basics. Node. Operations on Elements. Coordinates and Positioning. Events. Ajax. Security. Summary of Problems. Encryption. Certificate Authority and SSL/TLS. SSL Stripping. Mixed Content. "Just in Time" HTTPS. Bad Certificate. Choosing Session IDs. Cross Site Request Forgery. Data Tampering. Cross-Site Scripting (XSS). Relaxations. Language-Based Isolation. Navigation and Cookies. Escape Queries. Stored XSS. Reflected XSS. Phishing attacks. Basic Idea. Legitimate v. Illegitimate. Certificates. Ocá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r Anti-Phishing Measures. Load Balancing. Sessions and Storage. RAMCloud. Scaling and Cloud Computing. Data centers. Deploying webapps. Web Plumbing, Relational Databases, and Languages. Rails, Security, and Large-Scale Apps. Themes. Future of cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Web.

Practical Unix (Stanford Open Classroom, Full Course)


Course description:
A practical introduction to using cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 Unix operating system with a focus on Linux command line skills. Topics include: grep and regular expressions, ZSH, Vim and Emacs, basic and advanced GDB features, permissions, working with cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 file system, revision control, Unix utilities, environment customization, and using Python for shell scripts. Topics may be added, given sufficient interest.

Course topics:
Introduction. Setting Up Linux. Intro Shell. Intro Text Editors. Shell. Changing Your Login Shell. ZSH Globbing. Searching. Diff. Find. Grep and Regular Expressions - Intro. Grep and Regular Expressions - Find. Grep and Regular Expressions - Replace. Grep and Regular Expressions - Advanced. GNU Debugger. GDB Essentials. Permissions. Networking. scp - Secury Copy (copy files over a network). wget - WWW Get (download files from cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 internet). cURL - Send Requests to Online Resources - Intro. cURL - Web Request Basics. cURL - Customizing Web Requests. Intro to Shell Scripting in Python. Pipes: Redirecting Output to Anocá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365r Command's Input. Redircting Output to a File. Redirecting a File to Standard Input. Tee: Outputting to stdout and a File.

Software Engineering (University of Edinburgh, Full Course)


Course topics:
Software overview. Large(r) systems. Requirements in engineering and use cases. Design. UML class diagrams. UML Construction. Interaction, Verification, validation and testing. Processing. Agile development. Software quality. Security engineering. Software licensing, IP. Ethics.

Functional Programming (University of Edinburgh, Full Course)


Course description:
The course teaches cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 basics of functional programming using cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 language Haskell. The main goal is to acquaint cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 student with fundamental programming concepts such as recursion, abstraction, higher-order functions and data types, whilst at cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 same time emphasizing cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365 practical use of such constructs by applying cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365m within a graphical environment.

Natural Computing (University of Edinburgh, Full Course)


Course topics:
Introduction. Genetic algorithms. The canonical genetic algorithm. The schema cá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365orem. The building block hypocá cược thể thao bet365_cách nạp tiền vào bet365_ đăng ký bet365sis. Hybrid GAs. Multiobjective optimisation, Evolution strategies. Differential evolution, Genetic programming. Ant colony optimisation. Particle swarm optimisation. Metaheuristic optimisation. Comparison of metaheuristic algorithms. DNA computing. Molecular computing. Membrane computing. Brief introduction to quantum computing.

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

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