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You're reading from  Machine Learning Infrastructure and Best Practices for Software Engineers

Product typeBook
Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837634064
Edition1st Edition
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Author (1)
Miroslaw Staron
Miroslaw Staron
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Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
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The UI of an ML model

A UI serves as the bridge between the intricate complexities of ML algorithms and the end users who interact with the system. It is the interactive canvas that allows users to input data, visualize results, control parameters, and gain insights from the ML model’s outputs. A well-designed UI empowers users, regardless of their technical expertise, to harness the potential of ML for solving real-world problems.

Effective UIs for ML applications prioritize clarity, accessibility, and interactivity. Whether the application is aimed at business analysts, healthcare professionals, or researchers, the interface should be adaptable to the user’s domain knowledge and objectives. Clear communication of the model’s capabilities and limitations is vital, fostering trust in the technology and enabling users to make informed decisions based on its outputs. Hence my next best practice.

Best practice #66

Focus on the user task when designing the...

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Machine Learning Infrastructure and Best Practices for Software Engineers
Published in: Jan 2024Publisher: PacktISBN-13: 9781837634064

Author (1)

author image
Miroslaw Staron

Miroslaw Staron is a professor of Applied IT at the University of Gothenburg in Sweden with a focus on empirical software engineering, measurement, and machine learning. He is currently editor-in-chief of Information and Software Technology and co-editor of the regular Practitioner's Digest column of IEEE Software. He has authored books on automotive software architectures, software measurement, and action research. He also leads several projects in AI for software engineering and leads an AI and digitalization theme at Software Center. He has written over 200 journal and conference articles.
Read more about Miroslaw Staron