Greatest Binomial Coefficient (2 of 5: Overview & introduction)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
OCR MEI MwA B: Bin Packing: 03 First Fit Algorithm Example
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist OCR MEI MwA B: Bin Packing
From playlist JS Bin tips & information
Greatest Binomial Coefficient - worked example (2 of 2)
More resources available at www.misterwootube.com
From playlist Working with Combinatorics
Math for Liberal Studies - Lecture 1.8.2 One-at-a-Time Algorithms
This is the second video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss two algorithms for solving bin-packing problems: the first-fit algorithm and the best-fit algorithm. I work through an example of each algorithm and discuss advantages
From playlist Math for Liberal Studies Lectures
Math for Liberal Studies - Lecture 1.8.3 Sorted-Weight Algorithms
This is the third video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss variations of the first-fit and best-fit packing algorithms. In these methods, we first sort the list of objects from largest to smallest before applying the packing alg
From playlist Math for Liberal Studies Lectures
Math for Liberal Studies: Bin-Packing Algorithms
In this video, we use two different bin-packing algorithms to solve the same problem. For more info, visit the Math for Liberal Studies homepage: http://webspace.ship.edu/jehamb/mls/index.html
From playlist Math for Liberal Studies
This is Lecture 15 of the COMP300E (Programming Challenges) course taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Hong Kong University of Science and Technology in 2009. The lecture slides are available at: http://www.algorithm.cs.sunysb.edu/programmingchallenges
From playlist COMP300E - Programming Challenges - 2009 HKUST
OCR MEI MwA B: Bin Packing: 05 Full-Bin Strategy Example
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist OCR MEI MwA B: Bin Packing
Ethnomathematics Lecture 12: Win Trees for Games. Achi, Mancala
Beloit College, Math 103: Using game trees from specific positions, e.g. 1- or 2-ply trees, to analyze a position. Using longer game trees from a position to demonstrate it's a winning position. Examples with Achi (from Ghana) and a version of Mancala also from Ghana.
From playlist Beloit College: Ethnomathematics | CosmoLearning.org Mathematics
Math for Liberal Studies - Lecture 1.8.1 The Bin-Packing Problem
This is the first video for Math for Liberal Studies Section 1.8: Bin Packing and Scheduling. In this lecture, I discuss the general idea behind the bin-packing problem and talk about several examples of how this problem can occur in the real world.
From playlist Math for Liberal Studies Lectures
Environment oblivious risk-aware bandit algorithms by Jayakrishnan Nair
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
Bin Packing Algorithms (Tutorial 5) D1 EDEXCEL A-Level
Powered by https://www.numerise.com/ This video is a tutorial on the Bin Packing Algorithms (First fit, first-fit decreasing, full-bin) for Decision 1 Math A-Level. Please make yourself revision notes while watching this and attempt my examples. Complete the suggested exercises from the
From playlist Decision 1: Edexcel A-Level Maths Full Course
Applied ML 2020 - 10 - Calibration, Imbalanced data
Class materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/
From playlist Applied Machine Learning 2020
From playlist the absolute best of stereolab