Trinity College Dublin Industry Research Expertise (Machine Learning and more)

Industry

We frequently conduct projects with industry partners, mostly as part of our work in the ADAPT Centre. Industry partners we have worked with so far include Ryanair, Novartis, HRS, ISO, Wolters Kluwer, and Iconic.  Some of the options for collaborations are outlined in the following. Please contact us if you are interested in a collaboration. (Co-funded) research Read more…

Results of the Machine-Learning Survey at TCD Dublin: Machine-Learning-Library Experience (scikit-learn)

Experience with and Preference of Machine-Learning Libraries: scikit-learn vs. Tensorflow vs. Weka … [What Machine-Learning Students Think/Like/Know/Are …]

This is another post in our series What Machine-Learning Students Think/Like/Know/Are …, which we began during teaching our Machine-Learning module at Trinity College Dublin, Ireland. Today, we present the machine-learning students’ experience and preferences of machine-learning libraries such as scikit-learn, Tensorflow, and Weka. This survey was conducted in one of the Read more…

Results of Machine-Learning Student Survey: Expectation for Machine-Learning Lectures (TCD Dublin, Ireland)

Teaching Expectations: Applying Machine-Learning Frameworks vs. Theoretical Knowledge vs Social Impact … [What Machine-Learning Students Think/Like/Know/Are …]

Students apparently had a strong focus on the application of machine learning. Students could each distribute 100 points to the different categories, and most students (24% of the points) wanted to learn about machine learning frameworks like scikit-learn, or Tensorflow. However, also a deep understanding of algorithms was demanded (19%). Read more…

citation proximity analysis (CPA) illustration

Virtual Citation Proximity (VCP): Calculating Co-Citation-Proximity-Based Document Relatedness for Uncited Documents with Machine Learning (preprint)

We published a proposal on ResearchGate (DOI: 10.13140/RG.2.2.18759.39842) for a novel approach to the calculate relatedness of research articles and other document types. The relatedness of research articles, patents, legal documents, web pages, and other documents is often calculated with citation or hyperlink based approaches such as citation proximity analysis (CPA). Read more…

Results of Machine-Learning Student Survey: Programming Languages (TCD Dublin, Ireland)

Knowledge in Programming Languages: Python vs. R vs. Matlab vs. JAVA vs. C/++/# … [What Machine-Learning Students Think/Like/Know/Are …]

According to the students´ self-assessment, they had – on average – average knowledge of JAVA (3.2 out of 5 points). However, there was quite a bit of variance. Many students had very little knowledge of JAVA, while others had excellent knowledge. The knowledge of C/C++/C# was similar to JAVA (3.1 on Read more…

Results of Machine-Learning Student Survey: Career Paths (Machine-Learning Engineer vs. Data Scientist vs Software Engineer vs. ...) (TCD Dublin, Ireland)

Career Choices: Machine-Learning Engineer vs. Software Engineer vs. Product Manager … [What Machine-Learning Students Think/Like/Know/Are …]

The top careers for the machine-learning students were machine-learning engineer (16%), software engineer (16%), business start-up founder (14%), and data scientist (13%). However, also careers in project management (10%), research (9%) and consultancy (8%) were interesting to some students. “Business manager” was the least attractive career to the machine-learning students. Read more…

Results of Machine-Learning Student Survey: Programming Languages (TCD Dublin, Ireland)

General Computer Science Knowledge: Machine Learning vs. Databases vs. Writing vs. Research [What Machine-Learning Students Think/Like/Know/Are …]

On average, the machine-learning students had average knowledge in databases and general writing (around 3 out of 5 points), below-average knowledge in writing research papers (1.9 out of 5 points), and little knowledge in machine learning (1.5 out of 5). The little knowledge about machine learning is not surprising though, Read more…