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  2. 7 top-rated laptops for work and play - AOL

    www.aol.com/news/7-top-rated-laptops-play...

    Apple MacBook Air (M2) $ at Best Buy. Apple MacBook Air (M2) $ at B&H Photo and Video. Apple MacBook Air (M2) $ at Apple. NBC Select staff have used different MacBook Air laptops for years.

  3. Notebook interface - Wikipedia

    en.wikipedia.org/wiki/Notebook_interface

    Notebook interfaces are widely used for statistics, data science, machine learning, and computer algebra. [ 2 ] At the notebook core is the idea of literate programming tools which "let you arrange the parts of a program in any order and extract documentation and code from the same source file.", [ 3 ] the notebook takes this approach to a new ...

  4. Computing education - Wikipedia

    en.wikipedia.org/wiki/Computing_education

    [5] [24] It is a subfield of both computer science and education research, and is concerned with understanding how computer science is taught, learned, and assessed in a variety of settings, such as K-12 schools, colleges and universities, and online learning environments.

  5. Laptop - Wikipedia

    en.wikipedia.org/wiki/Laptop

    A laptop computer or notebook computer, also known as a laptop or notebook, is a small, portable personal computer (PC). Laptops typically have a clamshell form factor with a flat-panel screen on the inside of the upper lid and an alphanumeric keyboard and pointing device on the inside of the lower lid.

  6. List of open-source software for mathematics - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    An unpublished computational program written in Pascal called Abra inspired this open-source software. Abra was originally designed for physicists to compute problems present in quantum mechanics . Kespers Peeters then decided to write a similar program in C computing language rather than Pascal, which he renamed Cadabra .

  7. Richard S. Sutton - Wikipedia

    en.wikipedia.org/wiki/Richard_S._Sutton

    In a 2019 essay, Sutton criticized the field of AI research for failing "to learn the bitter lesson that building in how we think we think does not work in the long run", arguing that "70 years of AI research [had shown] that general methods that leverage computation are ultimately the most effective, and by a large margin", beating efforts ...

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