Interview with Two Women Data Scientists
Genevera I. Allen (left) is professor in the Departments of Statistics, and the Electrical and Computer Engineering, at Rice University. Corinne Cath (right) is a docto...
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Book: Evaluating Machine Learning Models
Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but also a lot of chaos and confusion. If you’re new to data science and a...
What is Regression Analysis?
Guest blog by Kevin Gray.. Kevin is president of Cannon Gray, a marketing science and analytics consultancy. Regression is arguably the workhorse of statistics. Despit...
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 ...
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...
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...
DSC Webinar Series: Deep Learning on Apache® Spark™- Best Practices
The combination of Deep Learning with Apache Spark has the potential for tremendous impact in many sectors of the industry. This webinar, based on the experience gained i...
Best practices of orchestrating Python and R code in ML projects
Today, data scientists are generally divided among two languages — some prefer R, some prefer Python. I will not try to explain in this article which one is better....
17 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...