- published: 31 Mar 2012
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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.
Pseudocode is an informal high-level description of the operating principle of a computer program or other algorithm.
It uses the structural conventions of a programming language, but is intended for human reading rather than machine reading. Pseudocode typically omits details that are essential for machine understanding of the algorithm, such as variable declarations, system-specific code and some subroutines. The programming language is augmented with natural language description details, where convenient, or with compact mathematical notation. The purpose of using pseudocode is that it is easier for people to understand than conventional programming language code, and that it is an efficient and environment-independent description of the key principles of an algorithm. It is commonly used in textbooks and scientific publications that are documenting various algorithms, and also in planning of computer program development, for sketching out the structure of the program before the actual coding takes place.
Crash Course (also known as Driving Academy) is a 1988 made for television teen film directed by Oz Scott.
Crash Course centers on a group of high schoolers in a driver’s education class; many for the second or third time. The recently divorced teacher, super-passive Larry Pearl, is on thin ice with the football fanatic principal, Principal Paulson, who is being pressured by the district superintendent to raise driver’s education completion rates or lose his coveted football program. With this in mind, Principal Paulson and his assistant, with a secret desire for his job, Abner Frasier, hire an outside driver’s education instructor with a very tough reputation, Edna Savage, aka E.W. Savage, who quickly takes control of the class.
The plot focuses mostly on the students and their interactions with their teachers and each other. In the beginning, Rico is the loner with just a few friends, Chadley is the bookish nerd with few friends who longs to be cool and also longs to be a part of Vanessa’s life who is the young, friendly and attractive girl who had to fake her mother’s signature on her driver’s education permission slip. Kichi is the hip-hop Asian kid who often raps what he has to say and constantly flirts with Maria, the rich foreign girl who thinks that the right-of-way on the roadways always goes to (insert awesomely fake foreign Latino accent) “my father’s limo”. Finally you have stereotypical football meathead J.J., who needs to pass his English exam to keep his eligibility and constantly asks out and gets rejected by Alice, the tomboy whose father owns “Santini & Son” Concrete Company. Alice is portrayed as being the “son” her father wanted.
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..
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...
Algorithms are the sets of steps necessary to complete computation - they are at the heart of what our devices actually do. And this isn’t a new concept. Since the development of math itself algorithms have been needed to help us complete tasks more efficiently, but today we’re going to take a look a couple modern computing problems like sorting and graph search, and show how we’ve made them more efficient so you can more easily find cheap airfare or map directions to Winterfell... or like a restaurant or something. Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/ CORRECTION: In the pseudocode for selection sort at 3:09, this line: swap array items at index and smallest should be: swap array items at i...
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
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.
Hope it helps:-) sbhoira@gmail.com
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.
Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we walked through some sorting algorithms, but skipped over how the information actually got there in the first place! And it is this ability to store and access information in a structured and meaningful way that is crucial to programming. From strings, pointers, and nodes, to heaps, trees, and stacks get ready for an ARRAY of new terminology and concepts. Ps. Have you had the chance to play the Grace Hopper game we made in episode 12. Check it out here! http://thoughtcafe.ca/hopper/ Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital...
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
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
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...
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...
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...
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?...
We Show You What is algorithm and flow chart C ++ - concepts of algorithm, flow chart & c++ in Urdu/Hindi. algorithm and flow chart C Puls Puls - This video will teach you about Example : algorithm for finding the roots of quadratic equation | Online | Ekeeda Learn Online | Example : algorithm for finding the roots of quadratic equation | Ekeeda Example : algorithm for finding the roots of quadratic equation stream video download ============================================================ Subscribe Us on YouTube: https://www.youtube.com/channel/UCZplysCMSp6F7MS3Ob1AQiw?sub_confirmation=1 =========================================================== Like Us on Facebook: https://www.facebook.com/TB-News-1824072877910776/ ===================================================...
Concepts - Algorithm - Pseudocode - Comments - Basic Arithmetic Operations - Type Conversion - Integer Division
Enroll to Full Course: https://goo.gl/liK0Oq Networks#4: The video explains the RSA Algorithm (public key encryption) Concept and Example along with the steps to generate the public and private keys. The video also provides a simple example on how to calculate the keys and how to encrypt and decrypt the messages. For more, visit http://www.EngineeringMentor.com. FaceBook: https://www.facebook.com/EngineeringMentor. Twitter: https://www.twitter.com/Engi_Mentor
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...
Algorithm using Flowchart and Pseudo code Level 2 Important Programming Concepts By: Yusuf Shakeel 0:05 Level 2 0:10 important Programming Concepts 0:16 Semicolon 0:36 Comment 1:05 Data item - Numeric Character String Boolean 1:55 Variable 2:05 Example of variables 2:50 Constant 3:17 Assignment Operator = 3:37 Mathematical Operators + - * / 4:04 Increment Operator ++ 4:26 Decrement Operator -- 4:52 Post Increment 5:31 Pre Increment 6:10 Post Decrement 6:41 Pre Decrement 7:10 Modulus Operator % 7:39 Logical Operator AND OR NOT 8:02 Logical AND Operator && 8:27 Logical OR Operator || 8:44 Logical NOT Operator ! 9:10 Relational Operator 9:34 Modulus Operation Exercise 9:37 Find whether a given number is ODD or EVEN 10:02 Logical Operator Exercise 10:08 Print "Valid" if a is 10 and b is 20 el...
Concepts of Algorithm, Flow Chart & C Programming by Prof. Wongmulin | Dept. of Computer Science Garden City College-Bangalore
In this video big-oh, big-omega and theta are discussed
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.
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.
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
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...
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
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.
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...
This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what activities Data Scientists do and you will learn how they use algorithms like Decision Tree, Random Forest, Association Rule Mining, Linear Regression and K-Means Clustering. To learn more about Data Science click here: http://goo.gl/9HsPlv The topics related to 'R', Machine learning and Hadoop and various other algorithms have been extensively covered in our course “Data Science”. For more information, please write back to us at sales@edureka.co Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Analysis and Design of Algorithms By Prof. Sibi Shaji, Dept. of Computer Science, Garden City College, Bangalore
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...
This Edureka Decision Tree tutorial will help you understand all the basics of Decision tree. This decision tree tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts, learn decision tree analysis along with examples. Below are the topics covered in this tutorial: 1) Machine Learning Introduction 2) Classification 3) Types of classifiers 4) Decision tree 5) How does Decision tree work? 6) Demo in R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #decisiontree #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and...
I hope you enjoyed this edition of "Tanmay Answers" and "Just Plain Algorithms"! If you have any questions, please comment down below or just email me at tajymany@gmail.com! If you want a video question featured in an upcoming video, you're most welcome to send a video of you asking a question at tajymany@gmail.com! Questions can be anything from Programming, Technology and Science, to Math!
This lecture goes over some fundamental definitions of statistics. This is needed for any rigorous analysis of machine learning algorithms. We will define random variable, sample space, probability, expectation, standard deviation and variance and go over examples of discrete and continuous probability distributions. We will specifically spend time on uniform, binomial and normal (Gaussian) distributions. We will briefly mention other distributions such as poisson, exponential, geometric and negative binomial but these are left to the viewers to understand them in detail.
A special lecture entitled "Quantum algorithm for solving linear equations" by Seth Lloyd from the Massachusetts Institute of Technology, Cambridge, USA.