Abstract
The rise of Artificial Intelligence (AI), Machine Learning and Deep Learning in the twenty-first century has witnessed widespread advances in several disciplines where technology has not been used for such purpose prior. Relying on AI and Machine learning to unravel novel domain knowledge, deliver increased performance in the work or new value for the organization, and a degree of automation that allows for fast and achievable results, are just some of the main benefits organizations expect when introducing these new technologies. This can provide quite a momentum shift in the progress of an organization, but with such wide variety of AI, Machine Learning and Deep Learning methods available, it can be overwhelming to know where to start exploring the area or to check if the methods we already use are the right choice. In this chapter we will provide a summary of these concepts with clear examples that aim to help anyone wishing to introduce AI, Machine Learning and Deep Learning concepts in their work and wants to do that efficiently, effectivly and with confidence.
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Juliandri, M., Ristanoski, G., Aickelin, U. (2022). Untangling the Concept of Artificial Intelligence, Machine Learning, and Deep Learning. In: Raz, M., Nguyen, T.C., Loh, E. (eds) Artificial Intelligence in Medicine. Springer, Singapore. https://doi.org/10.1007/978-981-19-1223-8_1
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