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* Machine Learning Algorithms in R - A Deep Dive

As a major benchmark and trend-setter in machine learning and statistics, R, a free and open source statistical computing language, has much to offer to anyone interested in machine learning, statistics, or numerical computing. In this tutorial, I will share with the audience the vast ecosystem around R, and get the listeners started right away with some of the most widely used machine learning algorithms. You don't have to be a statistician or computer scientist to use R - its concise syntax and expressive nature will only make you want to use it more and more for machine learning and other computing tasks!
Theory 2016-04-21 06:58:47 +0000
Helen Jiang

* Machine Learning: Key Battleground for Open Source Technology

Despite all the attention and buzz, Machine learning(ML) is woefully overlooked in the community of free and open source technology. In this presentation, I will examine the still prevalent proprietary legacy of ML, introduce the current open source stack of ML development and applications, and evaluate new proprietary attempts entering ML. Then, I will share with you the strategy recipes that we may need, in a battle to keep the booming field of ML free and open source.
Culture 2016-04-14 06:53:01 +0000
Helen Jiang