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

Languages

Python

Concepts

Machine Learning

Author (1)

Miroslaw Staron

References

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Saleh, H., Machine Learning Fundamentals: Use Python and scikit-learn to get up and running with the hottest developments in machine learning. 2018: Packt Publishing Ltd.
Raschka, S. and V. Mirjalili, Python machine learning: Machine learning and deep learning with Python, scikit-learn, and TensorFlow 2. 2019: Packt Publishing Ltd.
Sommerville, I., Software engineering. 10th. Book Software Engineering. 10th, Series Software Engineering, 2015.
Houpis, C.H., G.B. Lamont, and B. Lamont, Digital control systems: theory, hardware, software. 1985: McGraw-Hill New York.
Sawhney, R., Can artificial intelligence make software development more productive? LSE Business Review, 2021.
He, X., K. Zhao, and X. Chu, AutoML: A survey of the state-of-the-art. Knowledge-Based Systems. 2021. 212: p. 106622.
Reed, S., et al., A generalist agent. arXiv preprint arXiv:2205.06175, 2022.
Floridi, L. and M. Chiriatti, GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 2020. 30(4): p. 681-694.
Creswell, A., et al., Generative adversarial networks: An overview. IEEE signal processing magazine, 2018. 35(1): p. 53-65.
Celebi, M.E. and K. Aydin, Unsupervised learning algorithms. 2016: Springer.
Chen, J.X., The evolution of computing: AlphaGo. Computing in Science & Engineering, 2016. 18(4): p. 4-7.
Ko, J.-S., J.-H. Huh, and J.-C. Kim, Improvement of energy efficiency and control performance of cooling system fan applied to Industry 4.0 data center. Electronics, 2019. 8(5): p. 582.
Dastin, J., Amazon scraps secret AI recruiting tool that showed bias against women. In Ethics of Data and Analytics. 2018, Auerbach Publications. p. 296-299.
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Author (1)

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

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