t-SNE algo in R and Python, made with same dataset
t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of ...
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How to Boost Your Career in Big Data and Analytics
The world is increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is only going to continue growing in th...
Big Data changed my life. It can change yours too!
Hi, my name is Brontobyte and this is my story of how I grew up from a Byte, to Megabyte, to Gigabyte, to Brontobyte. I was born possibly in 1956 to unknown parents at ...
Top 10 AI events of 2016
This could a little late given that we have already embarked upon a new year. But it could be worthwhile looking back for a moment… 2016 was definitely the year of ...
How To Create A 360-Degree Customer View Using Data
How valuable would it be to know everything about your customer’s interactions with your competition? Creating a 360-degree customer view is considered the holy grail o...
Ten Simple Rules for Effective Statistical Practice
This article, written by Kass RE, Caffo BS, Davidian M, Meng X-L, Yu B, and Reid N, contains the following rules: Statistical Methods Should Enable Data to Answer Scienti...
Understanding and Selecting Recommenders
Summary: In this multi-part series we walk through the full landscape of Recommenders. In this article we cover business considerations as well as issues for Recommen...
DSC Webinar Series: Human-in-the-Loop Deep Learning
AI systems need to continually learn from new data to perform well in real-world scenarios. However, it is non-trivial to decide what new data needs to be labeled for tra...
27 Great Articles About Machine Learning Algorithms
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Deep Learning Cheat Sheet for Beginners
This article was written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. It consists of summaries, dozens of formulas, and numerous small sections that will he...