Units of volume | Customary units of measurement
Stack was a US unit of volume for stacked firewood. Symbol for the unit was stk. (Wikipedia).
301.5C Definition and "Stack Notation" for Permutations
What are permutations? They're *bijective functions* from a finite set to itself. They form a group under function composition, and we use "stack notation" to denote them in this video.
From playlist Modern Algebra - Chapter 16 (permutations)
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Related videos: Stack intro: https://youtu.be/L3ud3rXpIxA Stack implementation: https://youtu.be/RAMqDLI6_1c Data Structures Source Code: https://github.com/williamfiset/data-structures My website: http://www.williamfiset.com
From playlist Stack data structure playlist
Stack Data Structure - Algorithm
This is an explanation of the dynamic data structure known as a stack. It includes an explanation of how a stack works, along with pseudocode for implementing the push and pop operations with a static array variable.
From playlist Data Structures
This computer science video illustrates how the call stack is used to manage the way procedures and functions call each other and pass parameters.
From playlist Operating Systems
What is a linear combination of your unit vectors
http://www.freemathvideos.com In this video series I will show you how to find the unit vector when given a vector in component form and as a linear combination. A unit vector is simply a vector with the same direction but with a magnitude of 1 and an initial point at the origin. It is i
From playlist Vectors - Understanding
Fibered Categories, Descent Data and The Definition of a Stack. (This was the first video I made.)
From playlist Stacks
Data structures: Introduction to stack
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have described stack data structure as abstract data type. Lesson on Dynamic memory allocation: http://www.youtube.com/watch?v=_8-ht2AKyH4 For practic
From playlist Data structures
What is a Tensor? Lesson 37: The visualization of forms. Arrows and Stacks
What is a Tensor? Lesson 37: The visualization of forms. Arrows and Stacks Here we begin a series on the visualization of p-forms and p-vectors. I am doing this series because this question of visualization is very common and probably worth addressing. It will probably take about three or
From playlist What is a Tensor?
WEBASSEMBLY UNIT TESTING | Introduction to WebAssembly (WASM)
This video shows you how to unit test your WebAssembly (WASM) modules using the Jest unit testing framework. We will hand code a WASM module using WAT (WebAssembly Text Format) and then create unit tests for our module using Jest,
From playlist WebAssembly
Lecture 14A : Learning layers of features by stacking RBMs
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 14A : Learning layers of features by stacking RBMs
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
The Tower of Epiphany | Think Like A Coder, Ep 7
The adventure continues! Episode 7: Ethic and Hedge find themselves in a massive tower. Can they make it past the energy streams to reach the Node of Creation? -- This is episode 7 of our animated series “Think Like A Coder.” This 10-episode narrative follows a girl, Ethic, and her robo
From playlist New TED-Ed Originals
Strategies to Reduce the Rate of Charge Recombination by Mahesh Hariharan
Modern Trends in Electron Transfer Chemistry: From Molecular Electronics to Devices URL: https://www.icts.res.in/discussion-meeting/MTETC2016 DATES: Thursday 28 Jan, 2016 - Friday 29 Jan, 2016 VENUE : Madhava Lecture Hall, ICTS Bangalore DESCRIPTION: The meeting aims to introduce stud
From playlist Modern Trends in Electron Transfer Chemistry: From Molecular Electronics to Devices
Lecture 14.1 — Learning layers of features by stacking RBMs [Neural Networks for Machine Learning]
Lecture from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012. Link to the course (login required): https://class.coursera.org/neuralnets-2012-001
From playlist [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton
Lecture 14/16 : Deep neural nets with generative pre-training
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 14A Learning layers of features by stacking RBMs 14B Discriminative fine-tuning for DBNs 14C What happens during discriminative fine-tuning? 14D Modeling real-valued data with an RBM 14E RBMs are Infinite Sigmoid Beli
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Top 10 Technologies To Learn In 2023 | Trending Technologies In 2023 | Edureka
🔥 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟑 Training and Certification (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): http://bit.ly/3JRYw8h This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟑" video will introduce you to all the popular and trending technologies in the market which you should focus on in 2023
From playlist Top 10 Technologies to Learn in 2023 | Trending Technologies in 2023 | Edureka
Algebraic Spaces and Stacks: Representabilty
We define what it means for a functor to be representable. We define what it means for a category to be representable.
From playlist Stacks