# References

1. [Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX) by Konstantinos (Gus) Katsiapis and et. al](https://arxiv.org/pdf/2010.02013.pdf)
2. [Challenges in Deploying Machine Learning: a Survey of Case Studies by ANDREI PALEYES and et. al.](https://arxiv.org/pdf/2011.09926.pdf)
3. [Hidden Technical Debt in Machine Learning Systems by D. Sculley and et. al.](https://papers.nips.cc/paper/2015/file/86df7dcfd896fcaf2674f757a2463eba-Paper.pdf)
4. [Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims by Miles Brundage and et. al.](https://arxiv.org/pdf/2004.07213v2.pdf)
5. [DEEP DOUBLE DESCENT: WHERE BIGGER MODELS AND MORE DATA HURT by Preetum Nakkiran and et. al.](https://arxiv.org/pdf/1912.02292.pdf)
6. [Comparing deep neural networks against humans: object recognition when the signal gets weaker by Robert Geirhos and et. al.](https://arxiv.org/pdf/1706.06969.pdf)