Conveners
Overview lecture: Day 1 lecture - Github, shell scripting and code structuring
- There are no conveners in this block
Overview lecture: Day 2 - Data Sceince lecture
- There are no conveners in this block
Overview lecture: Day 3 - Machine Learning lecture
- Sanyukta Agarwal (University of Kansas)
The increased computational research approach demands efficient management of code, automation of tasks, and access to high-performance computing resources. Acquiring such skill sets can have a positive impact on the productivity of researchers and increase throughput. This talk will provide an introduction to three fundamental tools: version control, shell scripting, and remote computing....
This lecture will cover the relationship between "models" and "data", such that "learning" corresponds to making inferences about the parameters of our model. We will see that this paradigm covers everything from curve fitting to contemporary machine learning with neural networks. The theory of general model fitting will be explored with practical examples, with some discussion of the concepts...
These days, machines often perform tasks that were previously far beyond their capabilities, and they are increasingly outperforming humans too! Machine learning has been around for a long time, however, so what has changed? Since, ~2006 we have been in the “third wave” of deep learning, and it has become possible for machines to learn complex “nested representations”, and this has...
