Mathematical logic | Theoretical computer science
In mathematics and computer science, an algorithmic technique is a general approach for implementing a process or computation. (Wikipedia).
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
From playlist Algorithms 1
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
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
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
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
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
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
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
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
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
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
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
Data Science @Stanford Caitlin Smallwood 2/17/2016
Caitlin Smallwood discusses how data science can power global entertainment.
From playlist Data Science @ Stanford
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)
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
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
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
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