- published: 31 Mar 2012
- views: 551808
A concept is an abstraction or generalization from experience or the result of a transformation of existing ideas. The concept is instantiated (reified) by all of its actual or potential instances, whether these are things in the real world or other ideas. Concepts are treated in many if not most disciplines both explicitly, such as in psychology, philosophy, etc., and implicitly, such as in mathematics, physics, etc. In informal use the word concept often just means any idea, but formally it involves the abstraction component.
In metaphysics, and especially ontology, a concept is a fundamental category of existence. In contemporary philosophy, there are at least three prevailing ways to understand what a concept is:
In mathematics and computer science, an algorithm (^{i}/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning.
The words 'algorithm' and 'algorism' come from the name al-Khwārizmī. Al-Khwārizmī (Persian: خوارزمي, c. 780-850) was a Persian mathematician, astronomer, geographer, and scholar.
An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.
Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed". Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions.
Machine learning is closely related to and often overlaps with computational statistics; a discipline which also focuses in prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR),search engines and computer vision. Machine learning is sometimes conflated with data mining, where the latter sub-field focuses more on exploratory data analysis and is known as unsupervised learning.
In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data structures can implement one or more particular abstract data types (ADT), which are the means of specifying the contract of operations and their complexity. In comparison, a data structure is a concrete implementation of the contract provided by an ADT.
Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. For example, relational databases most commonly use B-tree indexes for data retrieval, while compiler implementations usually use hash tables to look up identifiers.
Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to designing efficient algorithms. Some formal design methods and programming languages emphasize data structures, rather than algorithms, as the key organizing factor in software design. Storing and retrieving can be carried out on data stored in both main memory and in secondary memory.
Data (/ˈdeɪtə/ DAY-tə, /ˈdætə/ DA-tə, or /ˈdɑːtə/ DAH-tə) is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing.
Raw data, i.e. unprocessed data, is a collection of numbers, characters; data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next. Field data is raw data that is collected in an uncontrolled in situ environment. Experimental data is data that is generated within the context of a scientific investigation by observation and recording.
The Latin word "data" is the plural of "datum", and still may be used as a plural noun in this sense. Nowadays, though, "data" is most commonly used in the singular, as a mass noun (like "information", "sand" or "rain").
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
This module explains the concept of Algorithm with the help of real life example. It also describes the concept of Generalized algorithm and its advantages. At Cognifront, we are creating revolution in Engineering Education.. Our Software Products are crafted with latest technology. We embarked on this grand vision to help transform technical education all across this beautiful planet. Become a part of it..
Introduction, to, Algorithms, Analyzing, DAA, gate, iit, lectures, tutorial, in hindi, Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms
Introductory lesson covering prerequisites related to C programming. This video covers concepts of basic computer setup, algorithms and flowcharts. In case you have any feedback or suggestions do email us at hello@superwits.com.
What is ALGORITHM? What does ALGORITHM mean? ALGORITHM meaning - ALGORITHM definition - ALGORITHM explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. In mathematics and computer science, an algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks. The words 'algorithm' and 'algorism' come from the name al-Khwarizmi. Al-Khwarizmi was a Persian mathematician, astronomer, geographer, and scholar. An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), th...
Algorithm using Flowchart and Pseudo code Level 1 Flowchart By: Yusuf Shakeel http://www.dyclassroom.com/flowchart/introduction 0:05 Things we will learn 0:21 Level 0:28 Level 1 Flowchart 0:33 Important terms 0:37 Procedure 0:45 Algorithm 0:54 Flowchart 1:00 Pseudo code 1:08 Answer this simple question 1:14 How will you log into your facebook account 1:30 Next question 1:32 Write an algorithm to log into your facebook account 1:44 Algorithm to log in to facebook account in simple English 2:06 Writing Algorithm 2:14 Flowchart 2:16 There are 6 basic symbols that are commonly used in Flowchart 2:20 Terminal 2:27 Input/Output 2:35 Process 2:42 Decision 2:52 Connector 3:00 Control Flow 3:06 All the 6 symbols 3:13 Flowchart rules 3:25 Flowchart exercise 3:28 Add 10 and 20 4:00 Another exerci...
Hope it helps:-) sbhoira@gmail.com
Please give it a thumbs up if you liked the video! Thanks Video project for CIS4930 Special Topics and Algorithms. This video covers the basics of understanding the runtime for algorithms. The question I had when learning this was, "Where is the number coming from that is being compared to the 'n'?... Once I figured out that the number was basically a count of the number of times a for loop actually looped, well, life became much easier for me in regards to understanding runtime. I hope this video helps you have a better understanding of the basics of algorithm runtime. Please feel free to leave a comment for any other computer science related concepts for which you would like to see a video.
In this video big-oh, big-omega and theta are discussed
Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation o...
Watch the next lesson: https://www.khanacademy.org/computing/computer-science/cryptography/crypt/v/intro-to-cryptography?utm_source=YT&utm_medium=Desc&utm_campaign=computerscience Computer Science on Khan Academy: Learn select topics from computer science - algorithms (how we solve common problems in computer science and measure the efficiency of our solutions), cryptography (how we protect secret information), and information theory (how we encode and compress information). About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide le...
What is an algorithm? Algorithm http://www.TutorialPort.com Design and Analysis of Algorithms: What is an Algorithm ? In mathematics and computer science, an algorithm is a step-by-step procedure for calculations. Algorithms are used for calculation, data processing, and automated reasoning. An algorithm is an effective method expressed as a finite list of well-defined instructions for calculating a function.
In this video Mr. Indra Kishor, Biyani International Institute of Engineering and Technology, Jaipur, explains about the Algorithm and Flowchart. How can we flow chart from algorithm . We all know about the Algorithm is very important for any programmer, without algorithm we can’t create any program. www.gurukpo.com, www.biyanicolleges.org
Algorithm is very simple and easy to write. It is defined as a set of sequential and well defined instruction to solve a program. Every instruction must be exact and every description is step by step. In this movie, we start to analyse the remote controller operation, then writing an algorithm for a program. The details and order of the events of the controller is important to achieve the result-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowT...
Learn the basics of memoization and dynamic programming. This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle Laakmann McDowell. http://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview?utm_source=video&utm_medium=youtube&utm_campaign=ctci
Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach "search" problems and how it relates to brute force algorithms. Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman Links discussed in this video: The Nature of Code: http://natureofcode.com/ BoxCar2D: http://boxcar2d.com/ Source Code for the Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Genetic Algorithm videos: https://www.youtube.com/playlist?...
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016 — Algorithms and the Concepts that enable them (Range and Iterator) are designed to work over values distributed in space (VDiS). The algorithms in std and the rangev3 proposal and the parallel algorithm are all focused on efficiently utilizing every resource assigned to them to process values distributed in space. Whenever values are distributed in space, these are the tools to use. Values distributed in time (VDiT) require different Concepts and Algorithms. This talk will explore some of these Algorithms and the requirements that they impose on the Concepts. The result is a library that composes algorithms the same way that the rangev3 proposal...
Concepts - Algorithm - Pseudocode - Comments - Basic Arithmetic Operations - Type Conversion - Integer Division
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This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a dataset for model creation and validation and how you can create a model using any machine learning algorithm! In this Machine Learning Algorithms Tutorial video you will understand: 1) What is an Algorithm? 2) What is Machine Learning? 3) How is a problem solved using Machine Learning? 4) Types of Machine Learning 5) Machine Learning Algorithms 6) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascien...
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
This module explains the concept of Algorithm with the help of real life example. It also describes the concept of Generalized algorithm and its advantages. At Cognifront, we are creating revolution in Engineering Education.. Our Software Products are crafted with latest technology. We embarked on this grand vision to help transform technical education all across this beautiful planet. Become a part of it..
Introduction, to, Algorithms, Analyzing, DAA, gate, iit, lectures, tutorial, in hindi, Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms
Introductory lesson covering prerequisites related to C programming. This video covers concepts of basic computer setup, algorithms and flowcharts. In case you have any feedback or suggestions do email us at hello@superwits.com.
What is ALGORITHM? What does ALGORITHM mean? ALGORITHM meaning - ALGORITHM definition - ALGORITHM explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. In mathematics and computer science, an algorithm is a self-contained step-by-step set of operations to be performed. Algorithms perform calculation, data processing, and/or automated reasoning tasks. The words 'algorithm' and 'algorism' come from the name al-Khwarizmi. Al-Khwarizmi was a Persian mathematician, astronomer, geographer, and scholar. An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), th...
Algorithm using Flowchart and Pseudo code Level 1 Flowchart By: Yusuf Shakeel http://www.dyclassroom.com/flowchart/introduction 0:05 Things we will learn 0:21 Level 0:28 Level 1 Flowchart 0:33 Important terms 0:37 Procedure 0:45 Algorithm 0:54 Flowchart 1:00 Pseudo code 1:08 Answer this simple question 1:14 How will you log into your facebook account 1:30 Next question 1:32 Write an algorithm to log into your facebook account 1:44 Algorithm to log in to facebook account in simple English 2:06 Writing Algorithm 2:14 Flowchart 2:16 There are 6 basic symbols that are commonly used in Flowchart 2:20 Terminal 2:27 Input/Output 2:35 Process 2:42 Decision 2:52 Connector 3:00 Control Flow 3:06 All the 6 symbols 3:13 Flowchart rules 3:25 Flowchart exercise 3:28 Add 10 and 20 4:00 Another exerci...
Hope it helps:-) sbhoira@gmail.com
Please give it a thumbs up if you liked the video! Thanks Video project for CIS4930 Special Topics and Algorithms. This video covers the basics of understanding the runtime for algorithms. The question I had when learning this was, "Where is the number coming from that is being compared to the 'n'?... Once I figured out that the number was basically a count of the number of times a for loop actually looped, well, life became much easier for me in regards to understanding runtime. I hope this video helps you have a better understanding of the basics of algorithm runtime. Please feel free to leave a comment for any other computer science related concepts for which you would like to see a video.
In this video big-oh, big-omega and theta are discussed
Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation o...
Watch the next lesson: https://www.khanacademy.org/computing/computer-science/cryptography/crypt/v/intro-to-cryptography?utm_source=YT&utm_medium=Desc&utm_campaign=computerscience Computer Science on Khan Academy: Learn select topics from computer science - algorithms (how we solve common problems in computer science and measure the efficiency of our solutions), cryptography (how we protect secret information), and information theory (how we encode and compress information). About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide le...
What is an algorithm? Algorithm http://www.TutorialPort.com Design and Analysis of Algorithms: What is an Algorithm ? In mathematics and computer science, an algorithm is a step-by-step procedure for calculations. Algorithms are used for calculation, data processing, and automated reasoning. An algorithm is an effective method expressed as a finite list of well-defined instructions for calculating a function.
In this video Mr. Indra Kishor, Biyani International Institute of Engineering and Technology, Jaipur, explains about the Algorithm and Flowchart. How can we flow chart from algorithm . We all know about the Algorithm is very important for any programmer, without algorithm we can’t create any program. www.gurukpo.com, www.biyanicolleges.org
Algorithm is very simple and easy to write. It is defined as a set of sequential and well defined instruction to solve a program. Every instruction must be exact and every description is step by step. In this movie, we start to analyse the remote controller operation, then writing an algorithm for a program. The details and order of the events of the controller is important to achieve the result-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowT...
Learn the basics of memoization and dynamic programming. This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle Laakmann McDowell. http://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview?utm_source=video&utm_medium=youtube&utm_campaign=ctci
Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach "search" problems and how it relates to brute force algorithms. Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman Links discussed in this video: The Nature of Code: http://natureofcode.com/ BoxCar2D: http://boxcar2d.com/ Source Code for the Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Genetic Algorithm videos: https://www.youtube.com/playlist?...
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016 — Algorithms and the Concepts that enable them (Range and Iterator) are designed to work over values distributed in space (VDiS). The algorithms in std and the rangev3 proposal and the parallel algorithm are all focused on efficiently utilizing every resource assigned to them to process values distributed in space. Whenever values are distributed in space, these are the tools to use. Values distributed in time (VDiT) require different Concepts and Algorithms. This talk will explore some of these Algorithms and the requirements that they impose on the Concepts. The result is a library that composes algorithms the same way that the rangev3 proposal...
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
Introductory lesson covering prerequisites related to C programming. This video covers concepts of basic computer setup, algorithms and flowcharts. In case you have any feedback or suggestions do email us at hello@superwits.com.
In this video big-oh, big-omega and theta are discussed
Please give it a thumbs up if you liked the video! Thanks Video project for CIS4930 Special Topics and Algorithms. This video covers the basics of understanding the runtime for algorithms. The question I had when learning this was, "Where is the number coming from that is being compared to the 'n'?... Once I figured out that the number was basically a count of the number of times a for loop actually looped, well, life became much easier for me in regards to understanding runtime. I hope this video helps you have a better understanding of the basics of algorithm runtime. Please feel free to leave a comment for any other computer science related concepts for which you would like to see a video.
All rights reserved for http://www.aduni.org/ Published under the Creative Commons Attribution-ShareAlike license http://creativecommons.org/licenses/by-sa/2.0/ Tutorials by Instructor: Shai Simonson. http://www.stonehill.edu/compsci/shai.htm Visit the forum at: http://www.coderisland.com Follow us on twitter: http://www.twitter.com/coderisland Become a fan on Facebook: http://www.facebook.com/Coderisland
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries. Please see Problem 1 of Assignment 1 at http://people.seas.harvard.edu/~minilek/cs224/fall14/hmwk.html for a corrected analysis of the space complexity of van Emde Boas trees
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a dataset for model creation and validation and how you can create a model using any machine learning algorithm! In this Machine Learning Algorithms Tutorial video you will understand: 1) What is an Algorithm? 2) What is Machine Learning? 3) How is a problem solved using Machine Learning? 4) Types of Machine Learning 5) Machine Learning Algorithms 6) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascien...
Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation o...
Lecture 01: Administrivia; Introduction; Analysis of Algorithms, Insertion Sort, Mergesort View the complete course at: http://ocw.mit.edu/6-046JF05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Get the Code Here: http://goo.gl/Y3UTH Welcome to my Big O Notations tutorial. Big O notations are used to measure how well a computer algorithm scales as the amount of data involved increases. It isn't however always a measure of speed as you'll see. This is a rough overview of Big O and I hope to simplify it rather than get into all of the complexity. I'll specifically cover the following O(1), O(N), O(N^2), O(log N) and O(N log N). Between the video and code below I hope everything is completely understandable.
1 hour BBC film about modern world software programming. Resume: Without us noticing, modern life has been taken over. Algorithms run everything from search engines on the internet to satnavs and credit card data security - they even help us travel the world, find love and save lives. Mathematician Professor Marcus du Sautoy demystifies the hidden world of algorithms. By showing us some of the algorithms most essential to our lives, he reveals where these 2,000-year-old problem solvers came from, how they work, what they have achieved and how they are now so advanced they can even programme themselves.
A special lecture entitled "Quantum algorithm for solving linear equations" by Seth Lloyd from the Massachusetts Institute of Technology, Cambridge, USA.
http://CppCon.org — Presentation Slides, PDFs, Source Code and other presenter materials are available at: https://github.com/cppcon/cppcon2016 — Algorithms and the Concepts that enable them (Range and Iterator) are designed to work over values distributed in space (VDiS). The algorithms in std and the rangev3 proposal and the parallel algorithm are all focused on efficiently utilizing every resource assigned to them to process values distributed in space. Whenever values are distributed in space, these are the tools to use. Values distributed in time (VDiT) require different Concepts and Algorithms. This talk will explore some of these Algorithms and the requirements that they impose on the Concepts. The result is a library that composes algorithms the same way that the rangev3 proposal...
Lecture Series on Data Structures and Algorithms by Dr. Naveen Garg, Department of Computer Science & Engineering ,IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
Analysis and Design of Algorithms By Prof. Sibi Shaji, Dept. of Computer Science, Garden City College, Bangalore
Machine learning is one of the newest tools in a Data Scientist’s arsenal. In this session, you will learn key architectural principles and frameworks for creating practical approaches to solving the prediction problem. Interactive demonstration of various popular machine learning algorithms based on these principles and frameworks will be included.