Using deep learning to understand the level of attention and engagement of students. Ensuring privacy, having real-time feedback on the delivery of coursework will help lecturers/presenters, make improvements vs. waiting once or twice a year for this information.
Through 3 key case studies, Rachel Thomas covers how people can be harmed by machine learning gone wrong, why we as machine learning practitioners should care, and what tech ethics are.
How are analytics and machine learning transforming education now, and what is the potential for the future? Hear examples of education leaders who are using analytics & ML to understand student performance and develop new forms of teaching and support. Carnegie Mellon has developed SARA, a socially aware robot tutor, and Unizin and Ivy Tech are using analytics and ML to understand student performance and pilot interventions. Learn how Google is bringing ML to education and organizations.
OU Analyse is a system powered by machine learning methods for early identification of students at risk of failing. All students with their risk of failure in their next assignment are updated weekly and made available to the course tutors and the Student Support Teams to consider appropriate support. The overall objective is to significantly improve the retention of OU students.
While the preprocessing pipeline we are focusing on in this post is mainly centered around Deep Learning, most of it will also be applicable to conventional machine learning models too.
Relational data represent relationships between entities anywhere on the web (e.g. online social networks) or in the physical world (e.g. structure of the protein).
Machine learning and deep learning models are normally used to solve regression and classification problems. In a supervised learning problem, during the training process, the model learns how to map the input to the realistic probability output.
As data scientists and business leaders, we need to think about the ethical and privacy considerations of machine learning and artificial intelligence. FICO's Scott Zoldi shares recommendations around responsible AI, ethics, and privacy during this important conversation.
Der Kurs vermittelt ein grundlegendes Verständnis für Machine Learning und den Umgang mit Algorithmen. Nach einem Einführungsteil auf der Basis inhaltlicher Wissensvermittlung, haben Sie intensiv die Möglichkeit, Kompetenzen durch forschendes Lernen und anhand realer Szenarien zu entwickeln.