Semantic Scholar Open Access 2020 309 sitasi

An Introduction to Machine Learning

Solveig Badillo B. Bánfai Fabian Birzele I. I. Davydov L. Hutchinson +4 lainnya

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Abstrak

In the last few years, machine learning (ML) and artificial intelligence have seen a new wave of publicity fueled by the huge and ever‐increasing amount of data and computational power as well as the discovery of improved learning algorithms. However, the idea of a computer learning some abstract concept from data and applying them to yet unseen situations is not new and has been around at least since the 1950s. Many of these basic principles are very familiar to the pharmacometrics and clinical pharmacology community. In this paper, we want to introduce the foundational ideas of ML to this community such that readers obtain the essential tools they need to understand publications on the topic. Although we will not go into the very details and theoretical background, we aim to point readers to relevant literature and put applications of ML in molecular biology as well as the fields of pharmacometrics and clinical pharmacology into perspective.

Topik & Kata Kunci

Medicine Computer Science

Penulis (9)

Solveig Badillo

B. Bánfai

Fabian Birzele

I. I. Davydov

L. Hutchinson

Tony Kam-Thong

Juliane Siebourg-Polster

Bernhard Steiert

J. Zhang

Format Sitasi

APA MLA BibTeX

Badillo, S., Bánfai, B., Birzele, F., Davydov, I.I., Hutchinson, L., Kam-Thong, T. et al. (2020). An Introduction to Machine Learning. https://doi.org/10.1002/cpt.1796

Akses Cepat

Lihat di Sumber doi.org/10.1002/cpt.1796

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 309×
Sumber Database: Semantic Scholar
DOI: 10.1002/cpt.1796
Akses: Open Access ✓