In computer science, an online algorithm is one that can process its input piece-by-piece in a serial fashion, i.e., in the order that the input is fed to the algorithm, without having the entire input available from the start. In contrast, an offline algorithm is given the whole problem data from the beginning and is required to output an answer which solves the problem at hand. In operations research, the area in which online algorithms are developed is called online optimization. As an example, consider the sorting algorithms selection sort and insertion sort: selection sort repeatedly selects the minimum element from the unsorted remainder and places it at the front, which requires access to the entire input; it is thus an offline algorithm. On the other hand, insertion sort considers one input element per iteration and produces a partial solution without considering future elements. Thus insertion sort is an online algorithm. Note that the final result of an insertion sort is optimum, i.e., a correctly sorted list. For many problems, online algorithms cannot match the performance of offline algorithms. If the ratio between the performance of an online algorithm and an optimal offline algorithm is bounded, the online algorithm is called competitive. Not every offline algorithm has an efficient online counterpart. (Wikipedia).
An intro to the core protocols of the Internet, including IPv4, TCP, UDP, and HTTP. Part of a larger series teaching programming. See codeschool.org
From playlist The Internet
Conducting an Online Job Search
In this video, you’ll learn more about conducting an online job search. Visit https://www.gcflearnfree.org/jobsearchandnetworking/find-a-job-online/1/ to learn even more. We hope you enjoy!
From playlist Searching for a Job
Searching a Tree - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Build a Heap - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
The Future - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
From playlist Week 0 2015 Shorts
Introduction to Algorithms - What are they and how are they useful?
#3B1B #SoMe2 This is my submission for this year's SoME, SoME2!! I hope you enjoy, and please feel free to leave any comments. Any feedback is hugely appreciated~! ーーーーーーーーーーーーーーーーーーーーーーー Time Stamps: 00:00 Intro 00:37 Introduction to Algorithms 03:47 Exploring Algorithms - Binary Searc
From playlist Summer of Math Exposition 2 videos
Algorithms In Industry - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
#shorts An algorithm is a mathematical method of solving problems both big and small. #engineeringlexicon #algoritm #engineering #problem #mathematics Join our YouTube channel by clicking here: https://bit.ly/3asNo2n Find us on Instagram: https://bit.ly/3PM21xW Find us on Facebook: https
From playlist Engineering Lexicon
(Nearly) Optimal Algorithm for Private Online Learning
A Google TechTalk, presented by Abhradeep Guha Thakurta, 2020/0814 Full Title: (Nearly) Optimal Algorithm for Private Online Learning, with Applications to Private Empirical Risk Minimization Abstract: In this talk I will review some of the initial results on differentially private online
From playlist Differential Privacy for ML
Richard J. Samworth: High-dimensional, multiscale onlinechangepoint detection
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 05, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
Learning Minimax Estimators Via Online Learning by Praneeth Netrapalli
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Online Parallel Paging and Green Paging
Abstract: The parallel paging problem captures the task of efficiently sharing a cache among multiple parallel processors. Whereas the single-processor version of the problem has been well understood for decades, it has remained an open question how to find optimal algorithms for the multi
From playlist SIAG-ACDA Online Seminar Series
Confusion Matrix in Machine Learning | Binary and Multiclass Classification Examples | Edureka
🔥Edureka Data Scientist Course Master Program https://www.edureka.co/masters-program/data-scientist-certification (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") This Edureka tutorial explains the Confusion Matrix. How to construct confusion matrix for binary as well as multi class classification problems, vario
From playlist Data Science Training Videos
Online Bipartite Matching and Adwords - Vijay V. Vazirani
Computer Science/Discrete Mathematics Seminar I Topic: Online Bipartite Matching and Adwords Speaker: Vijay V. Vazirani Affiliation: University of California Irvine Date: March 21, 2022 Over the last three decades, the online bipartite matching (OBM) problem has emerged as a central prob
From playlist Mathematics
Data Structures & Algorithms in Python | Data Structures in Python | Edureka | Python Rewind- 5
🔥 Edureka Python Certification Training: https://www.edureka.co/python-programming-certification-training This Edureka video on Regular Expressions in Python will help you understand the various fundamental concepts in Python and how they are used in Python programming along with examples
From playlist Python Programming Tutorials | Edureka
Naive Bayes Classifier Explained | Naive Bayes Algorithm | Edureka | Machine Learning Rewind
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦(𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎): https://www.edureka.co/masters-program/machine-learning-engineer-training This Edureka video will provide you with a detailed and comprehensive knowledge of Naive Bayes Classifier Algorithm in python. At the end of the
From playlist Machine Learning Algorithms in Python (With Demo) | Edureka
Make A Combination Lock - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms