The 10 Algorithms Machine Learning Engineers Need to Know
This article was written by James Le. It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past ...
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100 Free Tutorials for learning R
Here is our selection of featured articles and resources posted in the last few days. 100 Free Tutorials for learning R Image Segmentation using deconvolution layer in ...
13 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...
Trends Shaping Machine Learning in 2017
Technologies in the field of data science are progressing at an exponential rate. The introduction of Machine Learning has revolutionized the world of data science by ena...
Quantum Computing, Deep Learning, and Artificial Intelligence
Summary: Quantum computing is already being used in deep learning and promises dramatic reductions in processing time and resource utilization to train even the most co...
Book review: The Mathematical Corporation: Where Machine Intelligence and Human Ingenuity Achieve the Impossible
Background I heard about The Mathematical Corporation: Where Machine Intelligence and Human … by Josh Sullivan and Angela Zutavern through a tweet by Kirk Bourne....
One-shot Learning with Memory-Augmented Neural Networks
This article comes from Rylan Schaeffer Github. I’ve found that the overwhelming majority of online information on artificial intelligence research falls into one o...
How I Detect Fake News
This article was written by Tim O’Reilly. Source for picture: The Onion There are many signals of likely truth or falsity that can be verified algorithmically by a...
How to Train a Final Machine Learning Model
In this post, you discovered how to train a final machine learning model for operational use. You have overcome obstacles to finalizing your model, such as: Understanding...
14 Great Articles About Cross-Validation, Model Fitting and Selection
Cross-validation is a technique used to assess the accuracy of a predictive model, based on training set data. It splits the training sets into test and control sets. T...