Summary: Despite hundreds of projects and thousands of data scientists devoted to bringing AI/ML to healthcare, adoption remains low and slow. A good portion of… Read More »The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field.
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »22 Great Articles About Neural Networks
Introduction The boundaries of the enterprise are becoming diffused. You have data on the network, on the endpoint, and on the cloud. Enabling visibility into… Read More »How to Discover and Classify Metadata using Apache Atlas on Amazon EMR
Data Scientist is regarded as the sexiest job of the 21st century. It is a high paying lucrative jobs which comes with a lot of responsibility… Read More »Challenges Faced by a Data Scientist and How to Overcome Them?
This article was written by Laura Ellis. One of the reasons why I love R is that I feel like I’m constantly finding out… Read More »R Package Install Troubleshooting
This article was written by Natalie Wolchover. Even as machines known as “deep neural networks” have learned to converse, drive cars, beat video games and Go champions, dream,… Read More »New Theory Cracks Open the Black Box of Deep Learning
Originally posted here, by Jorge Castanon. Ancient ruins are sometimes discovered after long years investigating regions of the world covered by dense jungle or giant forests.… Read More »10 Visualizations Every Data Scientist Should Know
Yep. And it’s a big one. There is a general consensus that when we talk about open data we are referring to any piece of data… Read More »Is There a Difference Between Open Data and Public Data?
Guest blog by Michael Grogan. Here is how we can use the maps, mapdata and ggplot2 libraries to create maps in R. In this particular example, we’re going to create a… Read More »Creating maps in R using ggplot2 and maps libraries
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »15 Articles and Tutorials about Outliers
