Machine learning is having an increasing impact across almost all areas of life, including healthcare, business, law, security, etc. Basic knowledge of machine learning is become important for many occupations. The Duke Machine Learning Winter School (MLWS) will provide an introduction to the basics of machine learning, with a focus on recent developments in deep learning. The MLWS will be delivered with the goal of being accessible to as broad an audience as possible, with an emphasis on intuition, and on how the technology is used in several application areas. The first day of the MLWS will focus on broad understanding of the fundamentals of machine learning, including model design, and what it means for a machine to "learn," especially with large datasets ("big data"). The second and third days of the MLWS will address the two areas for which modern deep learning is having its biggest impact: (i) image/video analysis and (ii) natural language processing. The class is appropriate for students (undergraduate and graduate), faculty and staff with a basic understanding of mathematics, ideally including some calculus and probability.
Details on the MLWS and where to register
The MLWS is a part of the broader Duke + Data Science (+DS) program