Statistical charts and diagrams
A streamgraph, or stream graph, is a type of stacked area graph which is displaced around a central axis, resulting in a flowing, organic shape. Unlike a traditional stacked area graph in which the layers are stacked on top of an axis, in a streamgraph the layers are positioned to minimize their "wiggle". More formally, the layers are displaced to minimize the sum of the squared slopes of each layer, weighted by the area of the layer. Streamgraphs display data with only positive values, and are not able to represent both negative and positive values. Streamgraphs and their use were popularized by Amanda Cox in a February 2008 New York Times article on movie box office revenues. Cox got the idea from then-undergraduate Lee Byron, who had used a similar method for visualizing his music listening history. A related graph, sometimes conflated with streamgraphs, is the ThemeRiver, in which the "silhouette" of the graph is symmetrically arranged around the central axis. Streamgraphs were found to be more readable than basic stacked area graphs or ThemeRivers for value comparison tasks. Streamgraphs are officially supported by Matplotlib and D3.js. Marco Di Bartolomeo and Yifan Hu (2016) propose several improvements to streamgraphs, such as using 1-norm minimization instead of 2-norm minimization. (Wikipedia).
Streamlit for ML #2 - ML Models and APIs
▶️ Streamlit for ML Part 3: https://www.youtube.com/watch?v=lYDiSCDcxmc&list=PLIUOU7oqGTLg5ssYxPGWaci6695wtosGw&index=3 Streamlit has proven itself as an incredibly popular tool for quickly putting together high-quality ML-oriented web apps. More recently, it has seen wider adoption in pr
From playlist Streamlit for ML
Streamlit for ML #1 - Installation and API
▶️ Streamlit for ML Part 2: https://www.youtube.com/watch?v=U0EoaFFGyTg&list=PLIUOU7oqGTLg5ssYxPGWaci6695wtosGw&index=2 Streamlit has proven itself as an incredibly popular tool for quickly putting together high-quality ML-oriented web apps. More recently, it has seen wider adoption in pr
From playlist Streamlit for ML
Stereolab "Ticker Tape Of The Unconscious" (Montage)
Taken from the album "Dots And Loops".
From playlist the absolute best of stereolab
Streamlit for ML #4 - Adding Bootstrap Components
▶️ Streamlit for ML Part 5.1: https://www.youtube.com/watch?v=SGazDb8o-to&list=PLIUOU7oqGTLg5ssYxPGWaci6695wtosGw&index=5 Streamlit has proven itself as an incredibly popular tool for quickly putting together high-quality ML-oriented web apps. More recently, it has seen wider adoption in
From playlist Streamlit for ML
Short for "digital single-lens reflex," DSLR Cameras are large cameras with interchangeable lenses that can take very high-quality photos. We hope you enjoy! To learn more, check out our written lesson here: https://edu.gcfglobal.org/en/digitalphotography/
From playlist Digital Photography
Camera testing for the Project Thumper video shoot. This is our new Contour1080HD camera shooting in full HD at 60P with various samples in project Thumper.
From playlist Project Thumper Videos
Filters being used: - High and low frequency denoising - Spline-based image resizing to FullHD - Image stabilization http://kostackstudio.de
From playlist Video Experiments
What is the Stream of Consciousness?
The stream of consciousness refers to the passage of many thousands of images and ideas through our minds every day, very few of which we manage to arrest and examine in any detail. Accurate self-knowledge depends on patiently sitting on the bank of the stream of consciousness - identifyin
From playlist SELF
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
Lec 12 | MIT 6.189 Multicore Programming Primer, IAP 2007
Lecture 12: StreamIt parallelizing compiler License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu Subtitles are provided through the generous assistance of Rohan Pai.
From playlist MIT 6.189 Multicore Programming Primer, January (IAP) 2007