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  2. CS50 - Wikipedia

    en.wikipedia.org/wiki/CS50

    CS32 (Computational Thinking and Problem Solving), taught by Michael D. Smith, [29] is an alternative to CS50 but does not have a free online version. [30] The next course in sequence after CS32 or CS50 is CS51: Abstraction and Design in Computation, instructed by Stuart M. Shieber with Brian Yu as co-instructor. [31]

  3. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).

  4. Google Digital Garage - Wikipedia

    en.wikipedia.org/wiki/Google_Digital_Garage

    Google Digital Garage is a nonprofit program designed to help people improve their digital skills. [1] It offers free training, courses and certifications [ 2 ] [ 3 ] via an online learning platform .

  5. Andrew Ng - Wikipedia

    en.wikipedia.org/wiki/Andrew_Ng

    Ng taught machine learning and Widom taught databases. The course on AI taught by Thrun led to the genesis of Udacity. [49] The seeds of massive open online courses (MOOCs) go back a few years before the founding of Coursera in 2012. Two themes emphasized in the founding of modern MOOCs were scale and availability. [49]

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  7. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]

  8. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    In May 2016, Google announced its Tensor processing unit (TPU), an application-specific integrated circuit (ASIC, a hardware chip) built specifically for machine learning and tailored for TensorFlow. A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit ), and oriented toward using ...

  9. edX - Wikipedia

    en.wikipedia.org/wiki/EdX

    In blended learning models, traditional classes include an online interactive component. San Jose State University (SJSU) partnered with edX to offer 6.00xL Introduction to Computer Science and Programming, as a blended course at SJSU and released an initial report on the project in February 2013. Initial results showed a decrease in failure ...