Machine Learning and Deep Learning
By Dietmar P. F. Möller. Cybersecurity in Digital Transformation, 2019
852 citations recorded by the source corpus.
Now-a-days artificial intelligence has become an asset for engineering and experimental studies, just like statistics and calculus. Data science is a growing field for researchers and artificial intelligence, machine learning and deep learning are roots of it. This paper describes the relation between these roots of data science. There is a need of machine learning if any kind of analysis is to be performed. This study describes machine learning from the scratch. It also focuses on Deep Learning. Deep learning can also be known as new trend of machine learning. This paper gives a light on basic architecture of Deep learning. A comparative study of machine learning and deep learning is also given in the paper and allows researcher to have a broad view on these techniques so that they can understand which one will be preferable solution for a particular problem.
Subfields: Artificial Intelligence, Health Information Management
View Paper: https://www.semanticscholar.org/paper/7d291d5fca0e9cd9e0ed72fb6f82289a197f7f02
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Citations in the corpus
- A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects (2022, background): “In the last few years, advancements in machine learning, a subset of artificial intelligence (AI), have transformed and inher-17 ently changed almost every area of our lives [1], [2].”