Simple Machines (4 of 7) Pulleys; Calculating the Amount of Work Done
For the pulley simple machine shows how to calculate the amount of work done when raising an object and why simple machines do not make your work easier! A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as th
From playlist Mechanics
Longest Simple Path - 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
Simple Machines (2 of 7) Pulleys; Calculating Distances, Forces, MA, Part 1
For the pulley simple machine shows how to calculate the input and output distances, the input and output forces and mechanical advantage. A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as the simplest mech
From playlist Mechanics
Simple Machines (3 of 7) Pulleys; Calculating Forces, Distances, MA, Part 2
For the pulley simple machine shows how to calculate the input force, input distance and the mechanical advantage. A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as the simplest mechanisms that use mechani
From playlist Mechanics
Simple Machines (1 of 7) Pulleys; Defining Forces, Distances and MA
For the pulley simple machine this video defines the terms input and output force, input and output distance and mechanical advantage. A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as the simplest mechanis
From playlist Mechanics
Systems of linear equations seek a common solution for the unknowns across more than one equation. It can be very simple to calculate a solution using simple algebra. Alternatively you can use elementary row operations or even lines and planes in two- and three-dimensional space. At th
From playlist Introducing linear algebra
Reduction: Long and Simple Path - 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
Least squares method for simple linear regression
In this video I show you how to derive the equations for the coefficients of the simple linear regression line. The least squares method for the simple linear regression line, requires the calculation of the intercept and the slope, commonly written as beta-sub-zero and beta-sub-one. Deriv
From playlist Machine learning
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
Proofs from Algorithms, Algorithms from Proofs - Pravesh Kothari
Short talks by postdoctoral members Topic: Proofs from Algorithms, Algorithms from Proofs Speaker: Pravesh Kothari Affiliation: Princeton University; Member, School of Mathematics Date: Oct 3, 2018 For more video please visit http://video.ias.edu
From playlist Mathematics
Build your own QuickSort Algorithm in 3 STEPS?
#SoME2 Quicksort is the most efficient sorting algorithm in practice. In this video, we will built Quick Sort algorithm in three simple steps. ------------------ Time Stamps: 00:00 Sorting 00:36 - What is Rank? Rank implies Sorting 02:12 - Rank Algorithm 03:05 - First Quick Sort Algorit
From playlist Summer of Math Exposition 2 videos
ML Tutorial: Factor Graphs, Belief Propagation and Variational Techniques (Lennart Svensson)
Machine Learning Tutorial at Imperial College London: A Brief Introduction to Factor Graphs, Belief Propagation and Variational Techniques Lennart Svensson (Chalmers University) November 9, 2016
From playlist Machine Learning Tutorials
Nexus Trimester - Yue Lu (Harvard University)
Dynamics of Randomized Row-Action Methods for High-Dimensional Estimation Yue Lu (Harvard University) March 11, 2016 Abstract: In this talk, I will present an exact analysis of the dynamics of randomized iterative methods for solving inference problems. I will show that, in the large sys
From playlist 2016-T1 - Nexus of Information and Computation Theory - CEB Trimester
Complexity Coarse - Graining in the Black Hole Information Problem - Netta Engelhardt
IAS It from Qubit Workshop Workshop on Spacetime and Quantum Information Tuesday December 6, 2022 Wolfensohn Hall Engelhardt-2022-12-06
From playlist IAS It from Qubit Workshop - Workshop on Spacetime and Quantum December 6-7, 2022
Motivations, connections and scope of the workshop - Avi Wigderson
Optimization, Complexity and Invariant Theory Topic: Motivations, connections and scope of the workshop Speaker: Avi Wigderson Affiliation: Institute for Advanced Study Date: June 4, 2018 For more videos, please visit http://video.ias.edu
From playlist Optimization, Complexity and Invariant Theory
GoGaRuCo 2010 - Intelligent Ruby: Getting Started with Machine Learning by: Ilya Grigorik
Machine learning is a discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data — a fancy name for a simple concept. Behind all the buzzword algorithms such as Decision Trees, Singular Value Decomposition,
From playlist GoGaRuCo 2010
Improved Bounds for the Randomized Decision Tree Complexity of Recursive Majority - Ashwin Nayak
Ashwin Nayak University of Waterloo April 4, 2011 Recursive Majority-of-three (3-Maj) is a deceptively simple problem in the study of randomized decision tree complexity. The precise complexity of this problem is unknown, while that of the similarly defined Recursive NAND tree is completel
From playlist Mathematics
A New Balancing Method for Solving Parametric Max Flow
March 14, 2007 lecture by Bin Zhang for the Stanford University Computer Systems Colloquium (EE 380). A new, simple and fast algorithm finds a sequence of nested minimum cuts of a bipartite parametric flow network. Instead of working with the original parametric flow-network, the new meth
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
Hill Climbing Algorithm | Hill Climbing in Artificial Intelligence | Data Science Tutorial | Edureka
🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai Hill Climbing is an Algorithm is one that will find you the best possible solution to your problem in the most reasonable period of time! This
From playlist Data Science Training Videos
Systems of linear equations -- Elementary Linear Algebra
This lecture is on Elementary Linear Algebra. For more see http://calculus123.com.
From playlist Elementary Linear Algebra