Modern machine learning (ML) is a key to develop intelligent systems and analyze data in science and engineering. Today it provides impressive results in many fields, enabling intelligent technologies such as artificial voice assistants, and smart services such as optimized energy consumption. ML systems are nowadays considered as one of the largest share of growing market. While the amount of available tools and frameworks is becoming impressive, their effective application to real-world challenges requires an appropriate expertise. However, most of ML methods leverage the same building blocks and share basic concepts. Therefore, key to applying machine learning lays in understanding the basic formulations, relating them with prototypical study cases, reasoning on the situations when they are most appropriate. This 5-day course provides an introduction to the fundamental methods at the core of modern Machine Learning, covering theoretical foundations and essential algorithms. The program includes theoretical classes, lab sessions, and an industry workshop.

This course is suitable for undergraduate/graduate students, as well as professionals who are starting, or need to brush up machine learning skills.

MLCC started in 2014 has seen an increasing national and international attendance over the years with more than 150 participants in 2019.

Related courses:

• RegML 2020. A one week course on more advanced regularization methods in Machine Learning.
• MIT 9.520 - Statistical Learning Theory and Applications. This is a term long course of roughly 25 lectures offered to graduate students at MIT.
• Machine Learning 2018/2019. Undergraduate term-long introductory Machine Learning course offered at the University of Genova.
• CBMM Summer School: Machine Learning Classes. One day introduction to the essential concepts and algorithms at the core of modern Machine Learning.
• MLCC master page. Previous editions of MLCC.

Registration fee:

• students and postdocs: no fee
• professors and scientists: NOK 1000
• professionals: NOK 5000

Once accepted, each candidate has to follow the instructions in the acceptance email and proceed with the payment. The registration fee is non-refundable.