Paweł Cisło's Reviews > Machine Learning Yearning: Technical Strategy for AI Engineers, In the Era of Deep Learning

Machine Learning Yearning by Andrew Ng
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really liked it
bookshelves: _owned, data_science

The e-book is full of high-level descriptions, which should satisfy AI project managers who would like to have a quick introduction into the basics of ML. For the more technical readers, I would instead propose to have a look into Andrew's ML Coursera material.

Overall, the material introduces lots of practical approaches, mainly for diagnosing errors in the ML systems. Still, I think that some of the presented concepts, such as "eyeball dev set" and "unavoidable bias" are not that common in the industry and could have been omitted.
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Reading Progress

September 16, 2019 – Started Reading
September 16, 2019 –
16.0% (ebook Edition)
September 16, 2019 – Shelved
September 16, 2019 – Shelved as: _owned
September 16, 2019 – Shelved as: data_science
September 16, 2019 –
16.0%
September 26, 2019 –
23.0%
January 14, 2020 –
42.0%
January 20, 2020 –
73.0%
January 24, 2020 – Finished Reading

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