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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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Final remarks

I hope that this book was interesting for you and that you have gained new knowledge in machine learning, AI, and engineering software. I hope that you can use this book as a reference and that you will use the associated code to create new products. I would also greatly appreciate it if you could let me know if you liked it, connect via LinkedIn, and contribute to this book’s GitHub repository. I will monitor it and integrate all pull requests that you may have.

Before we part, I have one last best practice.

Best practice #79

Never stop learning.

Take this from a university professor. The field of machine learning grows quickly, with new models being introduced almost every week. Make sure that you observe the scientific publications in this area and commercial developments. This will help you keep your knowledge up-to-date and help you advance in your professional career.

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You have been reading a chapter from
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