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Acer Timeline: Don't buy a netbook, get this instead | Tech Sanity Check | TechRepublic.com
"When I wrote my article “MSI X340 Slim: The best laptop you’ve never heard of,” several TechRepublic members responded by saying that a similar laptop in the same class was the Acer Timeline series. Both the MSI X340 and the Acer Timeline are part of what Intel calls its Consumer Ultra-Low Voltage (CULV) line of machines. These laptops are characterized by their thin, light designs, long battery life, and processors that can handle bigger loads than netbooks.
So, at the prompting of the TechRepublic community, I got a hold of an Acer Timeline and put it through its paces. Here are the pros and cons of the machine from a business perspective. See why it’s a better choice than a netbook for many business users."
Pattern recognition - Wikipedia, the free encyclopedia
Pattern recognition is "the act of taking in raw data and taking an action based on the category of the data".[citation needed] Most research in pattern recognition is about methods for supervised learning and unsupervised learning.
Pattern recognition aims to classify data (patterns) based either on a priori knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space. This is in contrast to pattern matching, where the pattern is rigidly specified.
Pattern matching - Wikipedia, the free encyclopedia
In computer science, pattern matching is the act of checking for the presence of the constituents of a given pattern. In contrast to pattern recognition, the pattern is rigidly specified. Such a pattern concerns conventionally either sequences or tree structures. Pattern matching is used to test whether things have a desired structure, to find relevant structure, to retrieve the aligning parts, and to substitute the matching part with something else.
SCIgen - An Automatic CS Paper Generator
SCIgen is a program that generates random Computer Science research papers, including graphs, figures, and citations. It uses a hand-written context-free grammar to form all elements of the papers. Our aim here is to maximize amusement, rather than coherence.
One useful purpose for such a program is to auto-generate submissions to conferences that you suspect might have very low submission standards. A prime example, which you may recognize from spam in your inbox, is SCI/IIIS and its dozens of co-located conferences (check out the very broad conference description on the WMSCI 2005 website). There's also a list of known bogus conferences. Using SCIgen to generate submissions for conferences like this gives us pleasure to no end. In fact, one of our papers was accepted to SCI 2005! See Examples for more details.
Academic Earth - Circuits and Electronics
This course is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum.
The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course. The course content was created collaboratively by Profs. Anant Agarwal and Jeffrey H. Lang.
Academic Earth - Computer Science
Computer Science 15 courses and 2 guest lectures
Course | Computer Systems Laboratory Colloquium (2007-2008) - YouTube - Broadcast Yourself.
EE 380: Computer Systems Laboratory Colloquium is a Stanford University course that features weekly speakers on current research and developments in computer systems. Topics touch upon all aspects of computer science and engineering including logic design, computer organization and architecture, software engineering, computer applications, public policy, and the social, business, and financial implications of technology. Frequently the Colloquium provides the first public forum for discussion of new products, discoveries, or ideas. This playlist consists of seminar speakers recorded during the 2007-2008 academic year.
1 year ago 5,673 views stanforduniversity
Course | Computer Systems Laboratory Colloquium (2006-2007) - YouTube - Broadcast Yourself.
EE 380: Computer Systems Laboratory Colloquium is a Stanford University course that features weekly speakers on current research and developments in computer systems. Topics touch upon all aspects of computer science and engineering including logic design, computer organization and architecture, software engineering, computer applications, public policy, and the social, business, and financial implications of technology. Frequently the Colloquium provides the first public forum for discussion of new products, discoveries, or ideas. This playlist consists of seminar speakers recorded during the 2006-2007 academic year.
1 year ago 4,543 views stanforduniversity
Course | Programming Paradigms - YouTube - Broadcast Yourself.
Programming Paradigms (CS107) introduces several programming languages, including C, Assembly, C++, Concurrent Programming, Scheme, and Python. The class aims to teach students how to write code for each of these individual languages and to understand the programming paradigms behind these languages.
10 months ago 38,044 views stanforduniversity
CS 61B: Data Structures - Fall 2006 - YouTube - Broadcast Yourself.
CS 61B: Data Structures - Fall 2006. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.
10 months ago 38,268 views ucberkeleyy
SIMS 141 - Search Engines - YouTube - Broadcast Yourself.
Search Engines: Technology, Society, and Business. The World Wide Web brings much of the world's knowledge into the reach of nearly everyone with a computer and an internet connection. The availability of huge quantities of information at our fingertips is transforming government, business, and many other aspects of society.
1 year ago 21,674 views ucberkeley
CS 61A: The Structure and Interpretation of Computer Science - YouTube - Broadcast Yourself.
This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. Lectures 5 & 6 contain copyright material and will be public when permission is granted.
10 months ago 37,564 views ucberkeley
Course | Programming Abstractions - YouTube - Broadcast Yourself.
This course (CS 106B) is the successor to CS 106A and covers more advanced programming topics such as recursion, algorithmic analysis, and data abstraction. It is taught using the C++ programming language, which is similar to both C and Java. In the past when both CS 106A and CS106B were taught in C/C++, the coupling between the two classes was very tight and it was unheard for students to take CS106B without having completed our CS 106A (we recommended CS 106X instead). Nowadays, some students do go straight into CS106B, this is typically appropriate for a student who done well in an intro programming course (e.g., scored 4 or 5 on the CS AP exam or earned a good grade in a college course) and has sufficient familiarity with good programming style and software engineering issues (at the level of CS 106A) to use this understanding as a foundation on which to tackle advanced topics.
10 months ago 23,594 views stanforduniversity
Course | Programming Methodology - YouTube - Broadcast Yourself.
Programming Methodology (CS106A) is an Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Uses the Java programming language. Emphasis is on good programming style and the built-in facilities of the Java language.
11 months ago 96,760 views stanforduniversity
Free video lectures,Free Online Tests,Free Animations,Free Lecture Notes
Welcome to LearnersTV.com. This is a comprehensive site providing Video lectures, LiveOnline Tests, Audio lectures etc in the fields of Biology, Physics,Chemistry,Mathematics,Computer Science,Engineering,Medicine, Management and Accounting etc FREE to its visitors... This site provides free video/audio lectures of whole courses conducted by faculty from reputed universities around the world. Free live timed online tests with instant feedback and explanations will definitely help learners around the globe. This site will be updated daily to include more free video lecture courses, and more in various subject categories. Most of the materials offered are licensed by the respective institutes under a Creative Commons License. Currently we have 3017 videos in our database.
Learn Ruby on Rails: the Ultimate Beginner's Tutorial [Server Side Essentials]
While it certainly makes no attempt to constitute a complete guide to the Ruby language, this tutorial will introduce you to some of the basics of Ruby. We'll power through a crash-course in object oriented programming, covering the more common features o
Podcast Software (Clients)
Podcast Software (clients) let you subscribe to and manage podcasts.
Free and Easy Remote Access with VNC Reverse Connections » Raymond.CC Blog
The normal way of connecting to a computer via remote access is, the Client only requires the server's IP address. As for Server, it will require forwarding the port that the remote access application is using to his own local IP address. The server will
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