How to do Speech Recognition with Deep Learning
This article was posted by Adam Geitgey. Adam is Interested in computers and machine learning and he likes to write about it. Speech recognition is invading our lives....
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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...
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, ...