Introduktion till tillämpad maskininlärning (Introduction to Applied Machine Learning) 2,5 hp
Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools used in a wide variety of areas such as finance, healthcare, e-commerce, industry, entertainment and many others to automate numerous tasks. For example, in healthcare an ML algorithm can be used to predict a diagnosis based on the patient’s data. An autonomous vehicle can employ an AI algorithm to decide whether to apply emergency breaking. Fraud and money laundering can also be successfully identified by AI and ML technology when used by a financial institution. Successful deployment of this technology requires understanding of application areas of different AI and ML algorithms and their performance characteristics.
Target group
The target group for the course is senior and medium level management as well as engineering and technical personnel unfamiliar with AI and ML technology.
Content
The course introduces basic skills required to design and build simple machine learning solutions using Python as the programming language and the relevant Python libraries. In particular, the course focuses on both supervised and unsupervised machine learning including such algorithms as Linear Regression, Support Vector Machines, Decision Trees, Ensemble Learning, K-Means, and DBSCAN. During the course, the students will learn to select the right ML algorithm for the task and optimize its parameters in order to achieve desired performance.
Prerequisites
Three years of higher education (Bachelor level) in engineering & technology (Bachelor degree corresponding to 180CP). Passed courses of 2,5 HE credits within the field of machine learning and AI. Passed courses of 7,5 HE credits within the field of Python programming. Alternatively relevant professional work experience.
Attach resume if your application is based on work experience. A template (in Swedish) is available at our website www.hv.se/produktionskurser
Implementation and pedagogic concept
The course is based on University West’s concept of work integrated learning, which aims at integrating both theory and practice in education. Theoretical lectures are combined with case studies and practical examples.
The course format (campus or distance) can vary. The form is stated when the course being announced. The current courses can be found here.
Course code
ITM600
Registration
Course registration via University West’s website www.hv.se/produktionskurser
For more information, please contact produktionskurser@hv.se