Facets: An Open Source Visualization Tool for Machine Learning Training Data
Posted by James Wexler, Senior Software Engineer, Google Big Picture Team (Cross-posted on the Google Open Source Blog) Getting the best results out of a machine learning (ML) model requires that you truly understand your data. However, ML datasets can contain hundreds of millions of data points, each consisting of hundreds (or even thousands) of features, making it nearly impossible to understand
HILDA 2016: Workshop on Human-In-the-Loop Data Analytics
June 26, 2016 | Co-located with SIGMOD 2016 in San Francisco, CA Introduction Any data management system needs to work together with people, whose needs determine the goals for the system, and who must provide the input and who need to work effectively with the output. Data management systems will work much better when they take account of the cognitive and physiological characteristics of the peo
matplotlibで等高線やら何やらのプロット - たこ焼き食べた.net
今回は等高線や、疑似カラープロット(？)に挑戦です。 今までと違い、x, yのデータの他にz方向のデータを持っています。 以前のお話はこちら matplotlibでグラフを書く - たこ焼き食べた.net 疑似カラープロット(？) 行列の作り方 これは以下の等高線などでも使う知識なので重要です。 今回挑戦するx, y, zの3軸の情報を持つグラフは、今までと若干行列の与え方が異なります。 例えば、5*5の行列をプロットするとすると以下の行列が必要となります。 このように、x, y, zがそれぞれ、5*5の情報を持つ必要があります。 通常、x, y, zは x = arange(5) y = arange(5) Z = array([[24, 32, 12, 16, 21], [23, 24, 25, 26, 27], [43, 36, 32, 26, 25], [30, 32, 25, 2
t-SNE
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. The technique can be implemented via Barnes-Hut approximations, allowing it to be applied on large real-world datasets. We applied it on data sets with up to 30 million examples. The technique and its variants are intro
Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible
Rational Network Visualization — Farewell to hairballs Martin Krzywinski, Canada's Michael Smith Genome Sciences Center, Vancouver, BC the hive plot is a perceptually uniform and scalable linear layout visualization for network visual analytics UNDERSTANDING NETWORK STRUCTURE WITH HIVE PLOTS. (A) Normalized (top) and absolute (bottom) connectivity of E. coli gene regulatory network and Linux funct
Algorithms and Data Structures
This is a place to find information about some of the more fundamental algorithms used in computer science. This information is widely available on the net, but hopefully the way it's presented and discussed here will resonate with you. Most of these are things you wouldn't need to write yourself. Modern libraries and languages tend to have quality implementations for all of this. Nonetheless, I t
Protovis
Protovis Protovis composes custom views of data with simple marks such as bars and dots. Unlike low-level graphics libraries that quickly become tedious for visualization, Protovis defines marks through dynamic properties that encode data, allowing inheritance, scales and layouts to simplify construction. Protovis is free and open-source, provided under the BSD License. It uses JavaScript and SVG
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