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10 Visualizations of Juicebox

Juice Analytics

In the spirit of Christmas and the Christmas carol, the 12 days of Christmas, here are the Juice team’s 10 favorite visualizations. To learn more about the visualizations exclusive to Juicebox and Juice design schedule some time with us. An exclusive Juicebox visualization. Learn more. Leaderboard. Scatter Plot. Key Metric.

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Fitting Support Vector Machines via Quadratic Programming

Domino Data Lab

The intuition here is that a decision boundary that leaves a wider margin between the classes generalises better, which leads us to the key property of support vector machines — they construct a hyperplane in a such a way that the margin of separation between the two classes is maximised (Haykin, 2009). Derivation of a Linear SVM. Fisher, R.

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New Edition of “Now You See It”

Perceptual Edge

On April 15, 2021, my book Now You See It (2009) will become available in its second edition with the revised subtitle An Introduction to Visual Data Sensemaking. Now You See It: An Introduction to Visual Data Sensemaking. Now You See It teaches the concepts, principles, and practices of visual data sensemaking.

IT 84
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Exploring US Real Estate Values with Python

Domino Data Lab

This post covers data exploration using machine learning and interactive plotting. Visualization tools help make the shape of the data more obvious, surface patterns that can easily hide in hundreds of rows of data, and can even assist in the modeling process itself. .: Interactive Data Visualization in Python.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. The drawback of GAMs is that they do not allow feature interactions.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

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Eurovision Data: Should Scandinavia Trust the Swedes?

Sisense

Below is perhaps the most fascinating way to visualize and compare Sweden’s promiscuous Eurovision voting habits to its neighbors’ notably more loyal approach to the contest. Back in 2009, we’d tuned in together from Notodden, Norway, to watch Alexander take the Eurovision crown in all his fiddle-flinging glory. The data says it all.