|machine learning course cornell||0.97||0.5||2662||44|
Machine Learning at Cornell History of Machine Learning at Cornell The field of machine learning has a strong history at Cornell University. Many of the early reseachers conducting studies in the field were faculty or students at the university, located in Ithaca, NY.What is this machine learning course about?
This course will focus on challenges inherent to engineering machine learning systems to be correct, robust, and fast. Assignments will be project focused, with students building and deploying systems for applications such as text analysis and recommendation systems.What are some good topics to talk about in machine learning?
In addition to machine learning models, practical topics will include: tensor languages and auto-differentiation; model debugging, testing, and visualization; compression and low-power inference. Guest lectures will cover current topics from local ML engineers.What math do I need to learn machine learning?
Machine learning is complex. While you do not need to have machine learning experience in order to take the program, we strongly recommend having prior experience in math, including familiarity with Python, probability theory, statistics, multivariate calculus and linear algebra. Check your readiness with this free pretest now.