Clojure - the Reader and Evaluator (4/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
Introduction to the C programming language. Part of a larger series teaching programming. See http://codeschool.org
From playlist The C language
Clojure - the Reader and Evaluator (2/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
Introduction to the C programming language. Part of a larger series teaching programming. See http://codeschool.org
From playlist The C language
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Microsoft Word
What is Language? Enter Saussure (Part 2)
This is the second part of a series of videos on the nature of language. The aim of the series is to convey research findings to the general public. In this episode, we introduce Ferdinand de Saussure and talk about some of his revolutionary contributions to linguistics. Illustrated by L
From playlist What is Language?
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
Machine Learning in the Wolfram Language: JSSAC 2016 Seminar
Learn more about machine learning in the Wolfram Language: http://reference.wolfram.com/language/guide/MachineLearning.html In this presentation, Etienne Bernard, Lead Architect in the Advanced Research Group at Wolfram Research, shows functions of machine learning in the Wolfram Language
From playlist Wolfram Language
Tree Representation for XML, JSON and Symbolic Expressions: Live with the R&D team
Presentation begins at 0:53 In this stream, we have a Tree Representation for XML, JSON and Symbolic Expressions with Wolfram R&D. Follow us on our official social media channels. Twitter: https://twitter.com/WolframResearch/ Facebook: https://www.facebook.com/wolframresearch/ Ins
From playlist Live with the R&D Team
Text Analytics - Ep. 25 (Deep Learning SIMPLIFIED)
Unstructured textual data is ubiquitous, but standard Natural Language Processing (NLP) techniques are often insufficient tools to properly analyze this data. Deep learning has the potential to improve these techniques and revolutionize the field of text analytics. Deep Learning TV on Fac
From playlist Deep Learning SIMPLIFIED
Botany Basics | How to Identify Different Plant Species Around You
Did you know that there are around 400,000 plant species on Earth? In this episode you'll learn to identify these plant species, beginning with a basic understanding of root shapes, stem types, and leaf patterns. Get your trowel ready and dig up some botanical terminology! This video is l
From playlist Geology & Earth Science
Live CEOing Ep 550: Language Design in Wolfram Language [Splice, Shuffles & WFR Submissions]
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and features to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram
From playlist Behind the Scenes in Real-Life Software Design
Ruby Conference 2007 Ropes: An Alternative to Ruby's Strings by Eric Ivancich
Help us caption & translate this video! http://amara.org/v/FGda/
From playlist Ruby Conference 2007
Recursive Neural Tensor Nets - Ep. 11 (Deep Learning SIMPLIFIED)
Certain patterns are innately hierarchical, like the underlying parse tree of a natural language sentence. A Recursive Neural Tensor Network (RNTN) is a powerful tool for deciphering and labelling these types of patterns. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearning
From playlist Deep Learning SIMPLIFIED
Alright, didn't get as far as I wanted, but we got something up and running. -- Watch live at https://www.twitch.tv/simuleios
From playlist Huffman forest
Live CEOing Ep 428: Language Design in Wolfram Language [Trees]
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and functionality to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wo
From playlist Behind the Scenes in Real-Life Software Design
David McAllester - Dependent Type Theory from the Perspective of Mathematics, Physics, and (...)
Dependent type theory imposes a type system on Zemelo-Fraenkel set theory (ZFC). From a mathematics and physics perspective dependent type theory naturally generalizes the Bourbaki notion of structure and provides a universal notion of isomorphism and symmetry. This comes with a universal
From playlist Mikefest: A conference in honor of Michael Douglas' 60th birthday
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