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R users struggle while dealing with large data sets. In this article learn about data.table and data. frame packages and handling large datasets in R.
Theano is a programming language which runs on top of Python. This article explains deep learning with theano and how implementing neural networks in python.
Tutorial on tree based algorithms, which includes decision trees, random forest, ensemble methods and its implementation in R & python.
A tutorial for convolution neural networks to identify images. Learn about deep learning for computer vision and implement CNNs using graphlab in python.
This article presents the machine learning, data science startups from Y Combinator winter batch 2016. These startups use data and analytics
Learn about the challenges of imbalanced classification in R and how it can affect the accuracy of machine learning algorithms. Read Now!
This tutorial illustrates use of recommendation engines in the banking industry with practicals done in R. It also explains types of recommendation engines.
Boruta package is a wrapper algorithm around random forest for important variables and used to perform feature selection in R for data science.
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
This article explains artificial neural networks and fundamentals of deep learning. Learn about forward and backward propagation.
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