https://eugeneyan.com/rss 09月30日
数据科学家访谈:构建端到端机器学习系统
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本文记录了与数据科学家Daliana的访谈,讨论了机器学习中的常见错误、如何量化影响以及如何成长为机器学习工程师等话题。

I’ve known Daliana for a while and was humbled when she invited me to chat on her podcast, The Data Scientist Show. In this close to 2hr chat, we discussed all things data science and ML, including:

    Common mistakes in machine learning How to quantify impact and my most impactful projects How to grow as a machine learning engineer

View our chat on YouTube


Or if you prefer just the audio, listen on Spotify or Apple.

If you found this useful, please cite this write-up as:

Yan, Ziyou. (Dec 2021). The Data Scientist Show - Building end-to-end ML systems. eugeneyan.com. https://eugeneyan.com/speaking/data-science-show-eugene-yan/.

or

@article{yan2021show,  title   = {The Data Scientist Show - Building end-to-end ML systems},  author  = {Yan, Ziyou},  journal = {eugeneyan.com},  year    = {2021},  month   = {Dec},  url     = {https://eugeneyan.com/speaking/data-science-show-eugene-yan/}}
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数据科学 机器学习 访谈
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