March 2025
Intermediate to advanced
320 pages
8h 31m
English
book
Engineering AI Systems: Architecture and DevOps Essentials
by Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu
Content preview from Engineering AI Systems: Architecture and DevOps Essentials
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References
[Ahern 04] Ahern, D. M., Clouse, A., & Turner, R. (2004). CMMI distilled: A practical introduction to integrated process improvement. Addison-Wesley.
[Akiba 19] Akiba, T., Sano, S., Yanase, T., Ohta, T., & Koyama, M. (2019, July). Optuna: A next-generation hyperparameter optimization framework. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2623–2631). ACM.
[Ameisen 20] Ameisen, E. (2020). Building machine learning powered applications: Going from idea to product. O’Reilly Media.
[Amershi 19] Amershi, S., Begel, A., Bird, C., DeLine, R., Gall, H., Kamar, E., Nagappan, N., Nushi, B., & Zimmermann, T. (2019, May). Software engineering for machine learning: A case study. In
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.