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Vikrant Dogra

As seen in: Towards Data Science, KDnuggets, buZZrobot
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Articles by Vikrant Dogra

Creating Good Meaningful Plots: Some Principles

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By Vikrant Dogra
| KDnuggets Verified
By Vikrant Dogra, Data Science, Analytics and Insights Specialist Photo by Luke Porter on Unsplash Plots (or charts) are an intrinsic way to communicate information from data, yet good plots are rare. The primary reason, I think, is due to the passive approach taken while creating plots. But, if created actively, using principles of data investigation and interrogation, one can produce sensible and meaningful plots. This article covers some principles to create meaningful plots.
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Using T-SNE to Visualise how your Deep Model thinks

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By Harshvardhan Gupta, Vikrant Dogra, Sebastian Theiler, Enter T-SNE
| buZZrobot Verified
Deep Learning has given us a new way to think about things. Partially, the reason is that they can be made arbitrarily big, allowing them to have immense capacity, and they can be regularised, preventing overfitting. However, it is not very easy to understand how these models work. In this post, I will show a simple technique that allows somebody to somewhat see what the model is doing.
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Representation, Big Data, and algorithmic bias in Social Data Science

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By Kay Chansiri, Anna Carbone, Parvathi A. Subbiah, Vikrant Dogra
| Towards Data Science
Pushing the boundaries of Social Data Science Photo by NASA on Unsplash The buzz-phrase of our time, “Artificial intelligence,” has inspired all sorts of musings: from visions of utopic — and dystopic — futures freed from human labour, to more focused critiques on algorithmic discrimination. The reality is the ‘good, bad and the ugly’ of AI drives some of the most fundamental philosophical and societal questions we face today — and consequently much of our evolving tech legislation and policy.
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Complex Network: Facebook friends list

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By Netflix TechBlog, Vikrant Dogra, Samuele Mazzanti, Fagner Morais Dias
| Towards Data Science
A small introduction to complex network analysis and the tools used. Photo by Nastya Dulhiier on Unsplash Introduction The complex network is a growing area in the science data field used to describe, visualize, and analyze data. The complex networks distinct elements or actors represented by nodes and the connection between them.
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