Fuzzy logic

Fuzzy markup language

Fuzzy Markup Language (FML) is a specific purpose markup language based on XML, used for describing the structure and behavior of a fuzzy system independently of the hardware architecture devoted to host and run it. (Wikipedia).

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HTML

From playlist CS50 Shorts 2013

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Stephen Wolfram's Introduction to the Wolfram Language

Stephen Wolfram introduces the Wolfram Language in this video that shows how the symbolic programming language enables powerful functional programming, querying of large databases, flexible interactivity, easy deployment, and much, much more. To learn more about the Wolfram Language, visi

From playlist Wolfram Language

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What is HTML?

In this video, you’ll learn about HTML and how it is used to code webpages. We hope you enjoy! To learn more, check out our Basic HTML tutorial here: https://edu.gcfglobal.org/en/basic-html/ #whatishtml #htmlcode #learnhtml

From playlist HTML

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the C language (part 2 of 5)

Introduction to the C programming language. Part of a larger series teaching programming. See http://codeschool.org

From playlist The C language

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All the planets fit between the earth and the moon (sometimes)

#Wolfram #Mathematica In this fun tutorial I use the Wolfram Langue to look at which planets fit in the distance between the earth and the moon. The Wolfram Language has all of the data built-in.

From playlist Wolfram Language for deep learning

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Sublime Text Basics: All the Best Features in One Video

Just installed Sublime Text 3 and now you're wondering what all the hype is about? Start here. This video covers Sublime Text's 'killer features' - the practical tricks and commands that will make you faster, better, more powerful, and more efficient than you've ever been in another edito

From playlist Programming and Software Development (General)

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Jeremy Quastel (Toronto) -- Convergence of finite range exclusions to the KPZ fixed point

We will describe a method of comparison with TASEP which proves that both the KPZ equation and finite range exclusion models converge to the KPZ fixed point. For the KPZ equation and the nearest neighbour exclusion, the initial data is allowed to be a continuous function plus a finite num

From playlist Columbia Probability Seminar

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the C language (part 5 of 5)

Introduction to the C programming language. Part of a larger series teaching programming. See http://codeschool.org

From playlist The C language

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RailsConf 2016 - Style Documentation for the Resource-Limited by Betsy Haibel

Style Documentation for the Resource-Limited by Betsy Haibel Application view layers are always hard to manage. Usually we handwave this as the natural consequence of views being where fuzzy user experience and designer brains meet the cleaner, neater logic of computers and developers. Bu

From playlist RailsConf 2016

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jQuery Conference SF 2012 The UX of Language by Alex Sexton

There are 1 thing(s) that you have probably noticed about l10n and I18n in your JavaScript App(s). The sentences, even in english, are as ridiculous as the first one in this paragraph. Sure, you may be used to it, but it's a crappy user experience. There's lots you can do to make your data

From playlist jQuery Conference 2012 - San Francisco

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Introduction to the Wolfram Language Part 1

This session will enable you to find what you can do with the Wolfram Language, and how to work with the Wolfram Language via the notebook interface. It also gives an introduction to various mathematical concepts within the Wolfram Language as a building block to start programming.

From playlist Introduction to the Wolfram Language

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The Wolfram Language + Unity Game Engine

A quick demonstration of the embedded Wolfram Engine inside the Unity Game Engine IDE. To learn more about the Wolfram Language, visit http://www.wolfram.com/language For the latest information visit: http://reference.wolfram.com/language http://www.wolfram.com

From playlist Wolfram Language

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Rasa Livecoding: Finishing the 2.0 migration

Today we're going to finish up our 2.0 migration. What's livecoding? It's folks working on real projects in real time with help from you, the audience! Expect some bugs, breakthroughs and lots of fun. Want to build your own bot? https://rasa.com/docs/

From playlist Live Coding

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Statistical Rethinking 2022 Lecture 08 - Markov chain Monte Carlo

Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music: Intro: https://www.youtube.com/watch?v=E06X1NXRdR4 Skate1 vid: https://www.youtube.com/watch?v=GCr0EO41t8g Skate1 music: https://www.youtube.com/watch?v=o3WvAhOAoCg Skate2 vid: https://www.youtube

From playlist Statistical Rethinking 2022

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Black Hat USA 2010: Harder Better Faster Stronger: Semi-Auto Vulnerability Research 4/4

Speakers: Lurene Grenier, Richard Johnson Much work has been presented in the past few years concerning bug discovery through fuzzing. Everything from the feasibility of exhaustive generation fuzzing, to the continued productivity of simple mutation fuzzing has been covered. This talk wil

From playlist BH USA 2010 - PROGRAMMATIC

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Ruby On Ales 2015 - Standing on the Shoulders of Giants

By, Ryan Davis Ruby is a fantastic language, but it could be better. While it has done a terrific job of taking ideas from languages like smalltalk, lisp, and (to an extent) perl, it hasn't done nearly enough of it. Big thinkers have paved the way for us in so many programming languages, l

From playlist Ruby on Ales 2015

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Q&A With Wolfram Coding Experts

Join Wolfram programming experts Chris Carlson, Harry Calkins, and Paritosh Mokhasi for Q&A related to Wolfram Language built-in functions such as NSolve, NDSolve, UpValues, Reap, and Sow. For more training resources, please visit: http://www.wolfram.com/Training/

From playlist Write Faster Code with Wolfram Language Virtual Workshop 2014

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EmberConf 2017: Empowering the Next Million Creators by Edward Faulkner

Empowering the Next Million Creators by Edward Faulkner Ember isn't just about making developers more efficient. It's about empowering a wider audience to become creators and developers. How do we bridge the gap between our vibrant community and the next million people who have things the

From playlist EmberConf 2017

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Stanford CS105: Intro to Computers | 2021 | Lecture 7.2 Intro to HTML: Hypertext Markup Language

Patrick Young Computer Science, PhD This course is a survey of Internet technology and the basics of computer hardware. You will learn what computers are and how they work and gain practical experience in the development of websites and an introduction to programming. To follow along wi

From playlist Stanford CS105 - Introduction to Computers Full Course

Related pages

Fuzzy concept | Markup language