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  2. MIT OpenCourseWare - Wikipedia

    en.wikipedia.org/wiki/MIT_OpenCourseWare

    MIT OpenCourseWare (MIT OCW) is an initiative of the Massachusetts Institute of Technology (MIT) to publish all of the educational materials from its undergraduate- and graduate-level courses online, freely and openly available to anyone, anywhere.

  3. List of computer simulation software - Wikipedia

    en.wikipedia.org/wiki/List_of_computer...

    Scilab - free open-source software for numerical computation and simulation similar to MATLAB/Simulink. Sim4Life.lite - online version of Sim4Life that is free-of-charge for students for team-learning and online collaboration with classmates and teachers on limited size projects.

  4. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [18]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  5. OpenCourseWare - Wikipedia

    en.wikipedia.org/wiki/OpenCourseWare

    This program accepts applications for university lecturers that wish to put their courses online, and gives grants of between $10,000 – 15,000 CAD per course that is put online, and made available free of charge to the general public (ibid.). The most prestigious award is for the "national level CQOCW", then there is "provincial level" and ...

  6. GNU Octave - Wikipedia

    en.wikipedia.org/wiki/GNU_Octave

    GNU Octave is a scientific programming language for scientific computing and numerical computation.Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.

  7. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    MATLAB has many toolboxes specifically for the development of AI including the Statistics and Machine Learning Toolbox and Deep Learning Toolbox. These toolboxes provide APIs for the high-level and low-level implementation and use of many types of machine learning models that can integrate with the rest of the MATLAB ecosystem.