Jacob Lillard
Stephen Morrow
References
Lowering the Barrier to Applying Machine Learning
Kayur Patel
CHI 2010 Doctoral Consortium
Summary
Kayur Patel attempts to bridge the gap between machine learning algorithms and software based on such algorithms. Most of this goal is accomplished by providing tools that assist the user throughout the entire process of producing machine-learning based applications since current programming languages and tools such as matlab and java lack such support (inexperienced developers find it difficult to find a starting point for a particular project).To address deficiencies present in tools and programming languages, the author began working on Gestalt; which is an IDE capable of supporting learning techniques while aiding the user understand the relationship between data and results. Unlike other tools, Gestalt provides interactive visualizations that help developers sort, filter, and color examples that helps them get down to the desired data.
Discussion
This was a very interesting paper since it attempts to tie machine learning into software solutions. I have always viewed machine learning as a topic of graduate school, so it is very nice to see tools that attempt to make machine learning programming easier and more intuitive.
I think that it is a good thing to get better tools for humans to use with computers. The more intuitive we can make the usage, the more widespread it can be and the less stress inducing, as well.
ReplyDelete