This video defines a ratio and provides several examples on how to write a ratio and shows how to simplify a ratio. http://mathispower4u.wordpress.com/
From playlist Ratios and Rates
Determine a Horizontal Stretch or Horizontal Compression
This video provides two examples of how to express a horizontal stretch or compression using function notation. Site: http://mathispower4u.com
From playlist Determining Transformations of Functions
This is a short video tutorial on equivalent ratios. ✤ ✤ ✤ INTERACTIVE APPLETS AND WORKSHEETS ✤ ✤ ✤ http://fearlessmath.net ✤ ✤ ✤ FOLLOW ME ON TWITTER ✤ ✤ ✤ http://twitter.com/dhabecker
From playlist All about ratios and proportions
Ratios Introduction - what are ratios?
Ratios are used to compare different quantities. In this introduction to ratios we will look at what ratios are, how we deal with ratios of different measurement units and that ratios can be simplified. To donate to the tecmath channel:https://paypal.me/tecmath To support tecmath on Pa
From playlist Ratios
Determine a Vertical Stretch or Vertical Compression
This video provides two examples of how to express a vertical stretch or compression using function notation. Site: http://mathispower4u.com
From playlist Determining Transformations of Functions
Learn how to take equivalent ratios and rewrite them into a ratio table. Then solve a proportion question with the table. http://www.MathVillage.info
From playlist All about ratios and proportions
Raul Fraile: How GZIP compression works | JSConf EU 2014
Data compression is an amazing topic. Even in today’s world, with fast networks and almost unlimited storage, data compression is still relevant, especially for mobile devices and countries with poor Internet connections. For better or worse, GZIP compression is the de-facto lossless comp
From playlist JSConf EU 2014
!!Con 2018: Compressing the Library of Babel! by David Turner
Compressing the Library of Babel! by David Turner How do you compress the set of all possible books? What can we learn about data compression by trying to do this? We’ll cover zip bombs, the pigeon-hole principle, Kolmogorov complexity, and the Hutter Prize, all compressed into a ten-minu
From playlist !!Con 2018
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
Compression in Python Programming Tutorial
This video covers how to compress files and objects in memory using the built in zlib. Compression is useful not only for back up and storage, but also for transferring files in networks. Sample code: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-tradin
From playlist Intermediate Python Tutorials
7. Natural Honeycombs: Cork; Foams: Linear Elasticity
MIT 3.054 Cellular Solids: Structure, Properties and Applications, Spring 2015 View the complete course: http://ocw.mit.edu/3-054S15 Instructor: Lorna Gibson This session begins with a look at cork as a natural honeycomb structure, and covers properties of foams and some modeling. Licens
From playlist MIT 3.054 Cellular Solids: Structure, Properties and Applications, Spring 2015
DSI | Neural Representations for Volume Visualization by Josh Levine
In this talk, I will describe two projects, both joint work with collaborators at Vanderbilt University. The first project studies how generative neural models can be used to model the process of volume rendering scalar fields. We construct a generative adversarial network that learns th
From playlist DSI Virtual Seminar Series
Image Compression and the FFT (Examples in Python)
This video shows how to compress images with the FFT (code in Python). Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow Chapter 3 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunt
From playlist Data-Driven Science and Engineering
Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby
EE380: Computer Systems Colloquium Seminar Information Theory of Deep Learning Speaker: Naftali Tishby, Computer Science, Hebrew Univerisity I will present a novel comprehensive theory of large scale learning with Deep Neural Networks, based on the correspondence between Deep Learning and
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Diesel Cycle in Mathematica for Education
For the latest information, please visit: http://www.wolfram.com Speaker: David Smrcka This talk covers an interactive simulation of the diesel cycle in Mathematica, theoretically describing the processes in diesel engines. Using this simulation in lectures, students are able to better v
From playlist Wolfram Technology Conference 2014
This is an old video. See StatsMrR.com for access to hundreds of 1-3 minute, well-produced videos for learning Statistics. In this older video: Proportions are analyzed from a few perspectives, allowing us to more easily solve word problems and more easily set up proportions. Thinking o
From playlist Older Statistics Videos and Other Math Videos
ThermodynamicCycle: uma funçao para ciclos termodinâmicos
Aplicação de computação em termodinâmica pelo professor Prof. Me. Gino J. A. de Andrade da Universidade Federal do Amazonas (UFAM)
From playlist Conferência Brasileira Virtual de tecnologia Wolfram