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Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
This article explain the reasons behind analytics / machine learning models deployment failure in business world to a data scientists/analyst.
A tutorial to configure aws instances to do faster data computation. In this article learn how to build your first model in machine learning with aws.
This article explains machine learning algorithms and data exploration, manipulation using data.table and h2o package including deep learning
This article highlights the top 3 winning solutions from The seer's accuracy. The winners used xgboost, feature engineering and ensembled.
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
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