Computing Statistics - 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
Searching and Sorting Algorithms (part 4 of 4)
Introductory coverage of basic searching and sorting algorithms, as well as a rudimentary overview of Big-O algorithm analysis. Part of a larger series teaching programming at http://codeschool.org
From playlist Searching and Sorting Algorithms
Order/Efficiency/Run-time of an algorithm (Decision Maths 1)
Powered by https://www.numerise.com/ How to calculate the order/efficiency/run-time of an algorithm and why these are important. www.hegartymaths.com http://www.hegartymaths.com/
From playlist Decision Maths 1 OCR Exam Board (A-Level tutorials)
The Division Algorithm and Remainder Classes
This video introduces and division algorithm and remainder classes. mathispower4u.com
From playlist Additional Topics: Generating Functions and Intro to Number Theory (Discrete Math)
Measuring Time Solution - 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
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
Find the Shortest 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
SynFlow: Pruning neural networks without any data by iteratively conserving synaptic flow
The Lottery Ticket Hypothesis has shown that it's theoretically possible to prune a neural network at the beginning of training and still achieve good performance, if we only knew which weights to prune away. This paper does not only explain where other attempts at pruning fail, but provid
From playlist Papers Explained
Stanford Seminar - Applying Theory to Practice (and Practice to Theory)
"Applying Theory to Practice (and Practice to Theory)" -Ron Fagin This seminar features leading Industrial and academic experts on big data analytics, information management, data mining, machine learning, and large-scale data processing. Learn more: http://stanford.io/1CnPxC8 0:00 Intr
From playlist Statistics and Data Science
CMU Neural Nets for NLP 2017 (13): Parsing With Dynamic Programs
This lecture (by Graham Neubig) for CMU CS 11-747, Neural Networks for NLP (Fall 2017) covers: * What is Graph-based Parsing? * Minimum Spanning Tree Parsing * Structured Training and Other Improvements * Dynamic Programming Methods for Phrase Structure Parsing * Reranking Slides: http:/
From playlist CMU Neural Nets for NLP 2017
Coding Challenge 154: Tic Tac Toe AI with Minimax Algorithm
In this challenge I take the Tic Tac Toe game from coding challenge #149 and add an AI opponent for a human player by implenenting the Minimax algorithm. Code: https://thecodingtrain.com/challenges/154-tic-tac-toe-minimax 🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/ske
From playlist Coding Challenges
Social Scores Are Real And You Have One Too
AI-derived scores rank individuals based on their profitability or risk as consumers, job candidates, or even defendants in court. Machine-learning algorithms decide your life. Support me through Patreon: https://www.patreon.com/thehatedone - or donate anonymously: Monero: 84DYxU8rPzQ88Sx
From playlist Decrypted Lies
Scheduling: The Decreasing Time Algorithm
This lesson explains how to use the decreasing time algorithm to create a priority list and then a schedule. Site: http://mathispower4u.com
From playlist Scheduling
4A. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models
MIT HST.508 Genomics and Computational Biology, Fall 2002 Instructor: George Church View the complete course: https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61gaHWysmlYNeGsuUI8y5GV This w
From playlist HST.508 Genomics and Computational Biology, Fall 2002
RubyConf 2018 - Beating Mastermind: Winning with the help of Donald Knuth by Adam Forsyth
RubyConf 2018 - Beating Mastermind: Winning with the help of Donald Knuth by Adam Forsyth Come solve logic games with Ruby, learn about minimax algorithms, and turn a paper into code. There are lots of "solved" problems out there that don't have a good library available -- learn how to wr
From playlist RubyConf 2018
Kaggle Reading Group: On NMT Search Errors and Model Errors: Cat Got Your Tongue? | Kaggle
This week we'll be starting a new paper: "On NMT Search Errors and Model Errors: Cat Got Your Tongue?" by Felix Stahlber and Bill Byrne, published at EMNLP 2019. You can follow along with the paper here: https://www.aclweb.org/anthology/D19-1331.pdf About Kaggle: Kaggle is the world's lar
From playlist Kaggle Reading Group | Kaggle
Discrete Math - 3.1.3 Sorting Algorithms
Bubble sort and insertion sort algorithms. Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)