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Machine Learning

Machine learning deals with the realm of Artificial Intelligence (AI) where software can be trained to predict outcomes based on data.

Resources

  • Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

    EN
    This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model. It covers some challenges one may face due to the training data used and the importance of choosing an appropriate metric for your model. It presents some methods for evaluating the performance of a model.
  • Word Embeddings

    EN
    Natural language processing is one of the most powerful concepts in modern linguistics and computer science, bridging the understanding of language from human to machine, and in turn programming machines so they can perform complex linguistic tasks on their own. This short video introduces learners to the key concepts of word embeddings and how they can be used in digital humanities projects.
  • What 300-Dimensional Fridges Can Tell Us about Language

    EN
    In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ADCH-CH), Dirk Hovy gives an introduction to the method called embeddings, and showcases several applications of it. Hovy shows how they capture regional variation at an intra- and interlingual level, how they distinguish varieties and linguistic resources, and how they allow for the assessment of changing societal norms and associations.