Applied Data Analysis and Machine Learning: Introduction to the course, Logistics and Practicalities
Contents
Overview of first week
Lectures and ComputerLab
Course Format
Teachers
Deadlines for projects (tentative)
Recommended textbooks
Prerequisites
Learning outcomes
Topics covered in this course: Statistical analysis and optimization of data
Topics covered in this course: Machine Learning
Extremely useful tools, strongly recommended
Other courses on Data science and Machine Learning at UiO
Recommended textbooks
Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer
Aurelien Geron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
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