They should change the title. It is not a book for programmers about implementation of data science techniques. It is a book for managers about concerns surrounding the application of data science in various domains. The title should be something like "Social Concerns in the Application of Data Science."
I think a more philosophical text by Norvig is quite welcome. This is better than yet another machine learning algorithm book.
Data Science in Context – Peter Norvig's New Book
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Re: Data Science in Context – Peter Norvig's New Book
#42Quick skim and so far I've learned that the term "black box" model is now part of exclusionary language. It's "opaque box".
Re: Data Science in Context – Peter Norvig's New Book
#43Re: Data Science in Context – Peter Norvig's New Book
#44Earlier quoted context omitted.
> Because the opposite of black box is clear box Not a native speaker (never heard "clear box" as terminus technicus), but a mathematician: If it is "the (only) opposite", the relation ist symmetric. So the opposite of "clear box" is "black box" again. Skipping the injective part, "black box" would be still one possible opposite.
it's also known as open box or glass box and very rarely white box.
I would not consider the attribute "rare" to be appropriate here.
For example: I regularly deal with adversarial networks, and both black- and white-box attacks are quite common there.
Re: Data Science in Context – Peter Norvig's New Book
#45They should change the title. It is not a book for programmers about implementation of data science techniques. It is a book for managers about concerns surrounding the application of data science in various domains. The title should be something like "Social Concerns in the Application of Data Science."
It's a book for data scientists. Data scientists are not software engineers. They analyze data, they don't produce applications. Not everything in the world is written for the benefit of software engineers.
But in the book, computation is one of the three braids comprising data science. And they include software engineering in computation.
See book sections 1.2, 1.2.4, 2.1.3 etc
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What I am trying to untie is, should data engineering be distinguished from data science, or not?
Re: Data Science in Context – Peter Norvig's New Book
#46Earlier quoted context omitted.
Are you sure? You sound like someone who’s interested in actually doing things; the book looks like endless rambling about high level ethical/conceptual/societal context for data science. It looks about as interesting as picking up a random volume of a random social sciences journal. I think Peter Norvig’s python code is beautiful and amazing though, and probably same for most things he’s done.
The code is the least important part of data science.