This post shows the R code of classifying images or matching (searching) similar images with MicrosoftML package. You can easily classify your real photo albums without labeling.
Anomaly Detection by One Class SVM
In this post, I show you a brief introduction to one-class support vector machines (one class SVM) for anomaly (outlier) detection in Python code.
Analyze your text in R (MicrosoftML)
This shows how you can analyze your text (text featurization) using MicrosoftML package in R with the simple sentiment analytics example.
Accelerate MXNet R training by multiple machines and GPUs
Here we focus on the MXNet training acceleration: GPU (device) utilized training, distribution training by multiple machines, and active learning (online learning).
Scale your deep learning inference on R
Here I show you the step-by-step for scaling the deep learning workloads with MXNet and R. This time, we focus on the scoring phase.
Quick Introduction for Microsoft R (MRO) and Machine Learning Server
In this post, I describe what is the benefits of Microsoft R technologies (Microsoft R Open, R Server, R Client) for the professional developers with a few lines of code.
Use R in Power BI to analyze and visualize (For non-scientists)
In this post, I show you a sample of R-based graph using Power BI for beginner’s understanding. Non-scientists, the business users can easily create the rich graph like correlation, clustering, forecasting, etc, and share for other users.
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