Linear Algebra for Beginners | Linear algebra for machine learning
Linear algebra is the branch of mathematics concerning linear equations such as linear functions and their representations through matrices and vector spaces. Linear algebra is central to almost all areas of mathematics. In this course you will learn most of the basics of linear algebra wh
From playlist Linear Algebra
This is part of an online course on beginner/intermediate linear algebra, which presents theory and implementation in MATLAB and Python. The course is designed for people interested in applying linear algebra to applications in multivariate signal processing, statistics, and data science.
From playlist Linear algebra: theory and implementation
Linear algebra is the branch of mathematics concerning linear equations such as linear functions and their representations through matrices and vector spaces. Linear algebra is central to almost all areas of mathematics. Topic covered: Vectors: Basic vectors notation, adding, scaling (0:0
From playlist Linear Algebra
Linear Algebra Vignette 4c: Fibonacci Numbers - The Derivation Of The Formula
This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt
From playlist Linear Algebra Vignettes
Substructural Type Theory - Zeilberger
Noam Zeilberger IMDEA Software Institute; Member, School of Mathematics March 22, 2013 For more videos, visit http://video.ias.edu
From playlist Mathematics
Diego Figueira: Semistructured data, Logic, and Automata – lecture 2
Semistructured data is an umbrella term encompassing data models which are not logically organized in tables (i.e., the relational data model) but rather in hierarchical structures using markers such as tags to separate semantic elements and data fields in a ‘self-describing’ way. In this
From playlist Logic and Foundations
Brian Beckman: Don't fear the Monad
Cross posted from msdn's channel 9. Functional programming is increasing in popularity these days given the inherent problems with shared mutable state that is rife in the imperative world. As we march on to a world of multi and many-core chipsets, software engineering must evolve to bett
From playlist Software Development Lectures
Semantics of Higher Inductive Types - Michael Shulman
Semantics of Higher Inductive Types Michael Shulman University of California, San Diego; Member, School of Mathematics February 27, 2013
From playlist Mathematics
LambdaConf 2015 - Programs as Values Pure Composable Database Access in Scala Rob Norris
FP is often glibly described as "programming with functions", but we can equivalently say that FP is about programming with values. Functions are values, failures are values, effects are values, and indeed programs themselves can be treated as values. This talk explores some consequences o
From playlist LambdaConf 2015
Determining if a vector is a linear combination of other vectors
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determining if a vector is a linear combination of other vectors
From playlist Linear Algebra
Linear Algebra Vignette 4b: Fibonacci Numbers As A Matrix Product
This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt
From playlist Linear Algebra Vignettes
Shadows of Computation - Lecture 7 - Because it's there
Welcome to Shadows of Computation, an online course taught by Will Troiani and Billy Snikkers, covering the foundations of category theory and how it is used by computer scientists to abstract computing systems to reveal their intrinsic mathematical properties. In the seventh lecture Will
From playlist Shadows of Computation
Monads in Python: Why and How?
In this talk I would give some motivating examples behind the idea of monads in Python, and show some implementation examples. I'd also show how we can leverage AST transformations to make the Python syntax more amenable to the use of monads. EVENT: FOSDEM 2020 SPEAKER: Vincent Perez PU
From playlist Python
Linear Algebra: Continuing with function properties of linear transformations, we recall the definition of an onto function and give a rule for onto linear transformations.
From playlist MathDoctorBob: Linear Algebra I: From Linear Equations to Eigenspaces | CosmoLearning.org Mathematics
Samson Abramsky - The sheaf-theoretic structure of contextuality and non-locality
Talk at the school and conference “Toposes online” (24-30 June 2021): https://aroundtoposes.com/toposesonline/ Slides: https://aroundtoposes.com/wp-content/uploads/2021/07/AbramskySlidesToposesOnline.pdf Quantum mechanics implies a fundamentally non-classical picture of the physical worl
From playlist Toposes online
Steve Awodey: Type theories and polynomial monads
Abstract: A system of dependent type theory T gives rise to a natural transformation p : Terms → Types of presheaves on the category Ctx of contexts, termed a "natural model of T". This map p in turn determines a polynomial endofunctor P : Ctxˆ → Ctxˆ on the category of all presheaves. It
From playlist Topology
7B Inverse of a Matrix-YouTube sharing.mov
An introduction to the inverse of a square matrix.
From playlist Linear Algebra
Linear Algebra for Computer Scientists. 7. Linear Combinations of Vectors
This computer science video is one of a series on linear algebra for computer scientists. In this video you will learn about linear combinations of vectors, that is, you will learn how to create new vectors by scaling then adding other vectors together. You will also learn that some sets
From playlist Linear Algebra for Computer Scientists
Type Systems and Proof Assistant - Vladimir Voevodsky
Vladimir Voevodsky Professor, School of Mathematics, IAS October 10, 2012 For more videos, visit http://video.ias.edu
From playlist Mathematics