Mathematical logic | Theoretical computer science

Algorithmic technique

In mathematics and computer science, an algorithmic technique is a general approach for implementing a process or computation. (Wikipedia).

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What Is An Algorithm ? | Introduction to Algorithms | How To Write An Algorithm? | Simplilearn

This video is based on What Is An Algorithm ? The Introduction to Algorithms tutorial will explain to you How To Write An Algorithm? and it will cover the following topics ✅00:00- Introduction to Algorithms ✅01:46- What Is an Algorithm? The algorithm is a step-by-step procedure or set o

From playlist C++ Tutorial Videos

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Algorithms Explained: What is an Algorithm?

This video defines what an algorithm is, distinguishes algorithms from recipes and functions and gives some examples of algorithms. This is the first video in an "Algorithms Explained" series that discusses algorithms at a conceptual level. Videos in this series that discuss specific algo

From playlist Algorithms Explained

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Centrality - 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

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Algorithms Are Cool - 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

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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

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Function Comparision - 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

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Mark Component - 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

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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

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Clustering Algorithms | Data Science Algorithms | Edureka | ML Rewind - 3

🔥Machine Learning Training with Python: https://www.edureka.co/machine-learning-certification-training This Edureka video on "Clustering Algorithms" will help you understand the various aspects of clustering using K Means in Python. 🔴Subscribe to our channel to get video updates. Hit the

From playlist Machine Learning Tutorial in Python | Edureka

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On The Complexity of Circuit Satisfiability - Ramamohan Paturi

Ramamohan Paturi University of California at San Diego October 12, 2009 We present a gap theorem regarding the complexity of the circuit satisfiability problem. We prove that the success probability of deciding Circuit Satisfiability for deterministic circuits with n variables and size m

From playlist Mathematics

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Matthijs Vákár: Mathematical foundations of automatic differentiation

HYBRID EVENT Recorded during the meeting "Logic of Probabilistic Programming" the January 31, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Aud

From playlist Virtual Conference

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Dynamic Graph Algorithms and Their Implementation

Abstract: While many algorithmic graph problems have been solved for static graphs, graphs that are used as models in various applications often change dynamically and, thus, require algorithms that can adapt quickly to the deletion and insertion of edges. I will start with providing an ov

From playlist SIAG-ACDA Online Seminar Series

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Data Science @Stanford Caitlin Smallwood 2/17/2016

Caitlin Smallwood discusses how data science can power global entertainment.

From playlist Data Science @ Stanford

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Netflix: A confluence of metrics, algorithms, and experimentation | Caitlin Smallwood | WiDS 2015

Whether it's personalizing recommendations of movies and TV shows or optimizing the streaming of video bits to peoples' households, Netflix relies heavily on data science techniques. We believe in continuous learning through predictive modeling & algorithms, experimentation, and principle

From playlist Women in Data Science (WiDS)

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On some fine-grained questions in algorithms and complexity – V. Vassilevska Williams – ICM2018

Mathematical Aspects of Computer Science Invited Lecture 14.8 On some fine-grained questions in algorithms and complexity Virginia Vassilevska Williams Abstract: In recent years, a new “fine-grained” theory of computational hardness has been developed, based on “fine-grained reductions”

From playlist Mathematical Aspects of Computer Science

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Data Science - Part VII - Cluster Analysis

For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations https://github.com/DerekKane/YouTube-Tutorials This lecture provides an overview of clustering techniques, including K-Means, Hierarchical Clustering, and Gauss

From playlist Data Science

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Computer Science Basics: Algorithms

We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science. To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr. We hop

From playlist Computer Science Basics

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Caitlin Smallwood: How data science helps Netflix please customers

Personalization is a key differentiator for Netflix, which means the company has to make the right decisions about which videos to recommend to each customer, and what content it should lease or produce. Data science informs those decisions. Netflix amasses huge amounts of data on customer

From playlist Women In Data Science Conference (WiDS)- 2015

Related pages

Deep learning | Algorithm characterizations | Reinforcement learning | Sorting algorithm | Mathematical optimization | Graph traversal | Depth-first search | Constraint satisfaction problem | Dynamic programming | Divide-and-conquer algorithm | Greedy algorithm | Graph theory | Mathematics | Search algorithm | Theory of computation | Algorithmic paradigm | Overlapping subproblems | Algorithm engineering | Mathematical model | Tree traversal | Breadth-first search | Evolutionary algorithm | Brute-force search | Computation | Shortest path problem | Recursion