2016 Fall: PTYS 595B Special Topics in Planetary Science (Section 2)

Machine Learning for Planetary Science: Study of Machine Learning techniques, and their applications in different fields. The emphasis of the class is on geological, planetary and astronomical applications. The course will cover basic and state of the art Machine Learning techniques: Support Vector Machines, K-Means, Linear Regression, Neural Networks. Student will be able to code and test different Machine Learning Algorithms in a scripting language like Python or Matlab. 2 units. Course may be co-convened with PTYS 495B. Graduate-level requirements may include an additional project for graduate credit and extra questions on exams, depending on the course/topic taught.