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An introduction to Shiny App and data visualization using this app in R. It contains detailed explanations in UI.R and Server.R along with codes.
Keras is a high level library used to build neural network models. This tutorial focuses on its application and ways to solve problems with neural networks.
Rohan Rao shared insights about his journey, analytics career & his approach in Machine Learning competition. He shared techniques he uses in competitions.
Ultimate Student Hunt - a machine learning competition challenged students on real life machine learning problem & data science community
In this article we will learn about spark transformations and actions on RDD. These include map, filter, groupby, sample, set, max, min, sum etc on RDDs.
Learn when to apply TensorFlow neural networks, solve neural network problems, understand image data, and compare TensorFlow with other libraries.
This article comprises of free books, ipython notebooks, tutorials on github. This is useful for beginners in machine learning, data science
A beginners guide to shelf space optimization in retail using linear programming, explained with examples using simplex method, python & greedy algorithms.
This article highlights the startups in artificial intelligence which have been successfully acquired by companies like google, yahoo, amazon
This article enlists free data analysis tools for non programmers. These are the best data analysis tools in data science & machine learning.
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