Machine Learning for Developers: Introduction to Python's Scikit-Learn

Building, training, and deploying machine learning models is no longer an arcane art reserved for PhDs and scientists. Come and learn from Jared Smith about one of the most popular machine learning libraries, Scikit-Learn, in this hands-on talk where we will explore the capabilities of Scikit-Learn through live coding. First, we will cover the fundamentals behind several major algorithms, including several types of classifiers, regression models, and clustering methods, then we will write the code to implement them, visualize the results, and even deploy a model to a web server. Jared Smith is working on a PhD in Computer Science with a focus on Internet infrastructure resiliency and privacy-preserving methods of communication, interfacing with his other work at Oak Ridge National Laboratory as a cyber security researcher.