Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design

Neil D. Lawrence

edit

Back to publications

Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design

Neil D. Lawrence

, 2019.

Abstract

Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in “artificial intelligence” that has dominated popular press headlines and is having a significant influence on the wider tech agenda. Here we give an overview of the 3Ds of ML systems design: Data, Design and Deployment. By considering the 3Ds we can move towards \emph{data first} design.

Links

Cite this Paper

BibTeX


@Misc{data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design,
  title = 	 {Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design},
  author = 	 {Lawrence, Neil D.},
  year = 	 {2019},
  url = 	 {/publications/data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design.html},
  abstract = 	 {Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in "artificial intelligence" that has dominated popular press headlines and is having a significant influence on the wider tech agenda. Here we give an overview of the 3Ds of ML systems design: Data, Design and Deployment. By considering the 3Ds we can move towards \emph{data first} design.
}
}

Endnote

%0 Generic
%T Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design
%A Neil D. Lawrence
%D 2019	
%F data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design
%U /publications/data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design.html
%X Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in "artificial intelligence" that has dominated popular press headlines and is having a significant influence on the wider tech agenda. Here we give an overview of the 3Ds of ML systems design: Data, Design and Deployment. By considering the 3Ds we can move towards \emph{data first} design.

RIS


TY  - GEN
TI  - Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design
AU  - Neil D. Lawrence
DA  - 2019/03/26	
ID  - data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design
UR  - /publications/data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design.html
AB  - Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in "artificial intelligence" that has dominated popular press headlines and is having a significant influence on the wider tech agenda. Here we give an overview of the 3Ds of ML systems design: Data, Design and Deployment. By considering the 3Ds we can move towards \emph{data first} design.

ER  -

APA


Lawrence, N.D.. (2019). Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design.  Available from /publications/data-science-and-digital-systems-the-3ds-of-machine-learning-systems-design.html.