Transfer Learning –Deep Learning for Everyone
Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind. Transfer Learning (TL), a method of reusing pre...
Home » You searched for data science
Search Results for: data science
The Ultimate R Cheatsheet
The Ultimate R Cheatsheet We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developin...
Statisticians, like artists, have the bad habit of falling in love with their models
This is a quote by George E Box. Share if you like it. In short, all models are approximations. All models are wrong, but some are useful. George E Box (18 October 1919 ...
Next Generation Automated Machine Learning (AML)
Summary: Automated Machine Learning has only been around for a little over two years and already there are over 20 providers in this space. However, a new European AM...
27 Great Resources About Logistic Regression
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Predictive Analytics Path to Mainstream Adoption
Hold on to your hats data scientists, you’re in for another wild ride. A few months ago, our beloved field of predictive analytics was taken down a peg by the ...
Stochastic Processes and New Tests of Randomness – Application to Cool Number Theory Problem
This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I ...
DSC Webinar Series: rEvolutionize Your Analytics: Break Barriers to Insight
When it comes to breakthrough analytics, it’s vital that the various components of your ecosystem – analytics, data science, cloud, databases, etc. – work together ...
13 Great Articles About K-Nearest-Neighbors And Related 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, ...
Extending churn analysis to revenue forecasting using R
In this article we will review application of clustering to customer order data in three parts. First, we will define the approach to developing the cluster model inclu...