Photo by Raphael Koh on Unsplash The 5 Deep Learning Frameworks Every Serious Machine Learner Should Be Familiar With Deep Learning requires a lot of computations. It typically...
06/26/2019
Estimating BI and Analytics Tool Migration Efforts By Jen Underwood • 13 hours ago 25 Share Estimating BI and Analytics Tool Migration Efforts As data continues to grow and...
06/23/2019
Many thanks for the retweets and feedback on Part one of this blog A methodology for solving problems with DataScience for Internet of... Here is Part Two Here we extend the...
06/19/2019
Data science educator Jose Portilla provides this definitive guide on becoming a data scientist, which includes everything from resources for acquiring specific skills, to...
06/18/2019
The computer-assisted analysis for better interpreting images have been longstanding issues in the medical imaging field. On the image-understanding front, recent advances in...
06/16/2019
Detection of sarcasm is important in other areas such as affective computing and sentiment analysis because such expressions can flip the polarity of a sentence. This paper...
06/15/2019
KDnuggets Home » News » 2018 » Jun » Tutorials, Overviews » The 5 Clustering Algorithms Data Scientists Need to Know ( 18:n25 ) The 5 Clustering Algorithms Data Scientists...
06/14/2019
Organizations, often in their me-too hurry to adopt a new technology, just pour their old-wine (data) into a new bottle. What was originally called ‘sales-information-system’ in...
06/11/2019
6/19/2018 How to Make a Tadpole Chart and Other Charts in Tableau with Open Circles I was reading a recent blog post The Spawning of the Tadpole Chart by Mark Edwards . Mark's...
06/11/2019
I’ve now been teaching data journalism for over a decade — from one-off guest classes at universities with no internal data journalism expertise, to entire courses dedicated to...
06/10/2019
Dimensionality reduction is a critical component of any solution dealing with massive data collections. Being able to sift through a mountain of data efficiently in order to...
06/07/2019
to machine learning—Part II Model Tuning and the Bias-Variance Tradeoff The goal of modeling is to approximate real-life situations by identifying and encoding patterns in data....
06/06/2019