// Wikipedia defines Machine Learning as “a branch of artificial intelligence that deals with the construction and study of systems that can learn from data.” (If you arrived here looking how to add...
Website of Gaston Sanchez, statistical programmer and analytics engineer
The Web is a vast source of data and information. But the amount of content and its exponential growth surpasses our capacity to handle it analytically. We hardly know what to do with it, not to mention how to make sense of it. Most of us are in the same quest for our holy grails: gaining insight and learning from data. However, in order to start crunching numbers, building models, and training machines to learn, we must first have access to the data itself.
Everybody is talking about making research reproducible. With the integration of knitr in RStudio, reproducible research has been made available to people who are less familiar with the Terminal.
All you need is some basics in R and LaTeX and you can generate reports directly from within RStudio. With a few tweaks, RStudio automatically generates the bibliography and you won’t have to manually run latex orbiber/bibtex.
MLDemos is an open-source visualization tool for machine learning algorithms created to help studying and understanding how several algorithms function and how their parameters affect and modify the results in problems of classification, regression, clustering, dimensionality reduction, dynamical systems and reward maximization.
News and perspectives covering the top stories, events and activities from Microsoft. The content for this blog includes the official information and stories from all of Microsoft's primary businesses.
Brenda McCowan, Unraveling Dolphin Communication Complexity, Past approaches and next steps (YouTube video is here) Philippe Nieuwbourg, How to transform data into dollars… Gabriel Synnaeve, Convolutional Neural Networks 101 Guillaume Palacios, The D-Wave “Quantum Computer” Myths and Realities