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  2. National Programme on Technology Enhanced Learning

    en.wikipedia.org/wiki/National_Programme_on...

    The National Programme on Technology Enhanced Learning (NPTEL) is an Indian e-learning platform for university-level science, technology, engineering, and mathematics (STEM) subjects. NPTEL is the largest e-repository in the world of courses in engineering, basic sciences and selected humanities and management subjects. [ 1 ]

  3. Expectation–maximization algorithm - Wikipedia

    en.wikipedia.org/wiki/Expectation–maximization...

    The on-line textbook: Information Theory, Inference, and Learning Algorithms, by David J.C. MacKay includes simple examples of the EM algorithm such as clustering using the soft k-means algorithm, and emphasizes the variational view of the EM algorithm, as described in Chapter 33.7 of version 7.2 (fourth edition).

  4. Independent component analysis - Wikipedia

    en.wikipedia.org/wiki/Independent_component_analysis

    The ML "model" includes a specification of a pdf, which in this case is the pdf of the unknown source signals . Using ML ICA , the objective is to find an unmixing matrix that yields extracted signals y = W x {\displaystyle y=\mathbf {W} x} with a joint pdf as similar as possible to the joint pdf p s {\displaystyle p_{s}} of the unknown source ...

  5. 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 ]

  6. Information gain (decision tree) - Wikipedia

    en.wikipedia.org/wiki/Information_gain_(decision...

    In machine learning, this concept can be used to define a preferred sequence of attributes to investigate to most rapidly narrow down the state of X. Such a sequence (which depends on the outcome of the investigation of previous attributes at each stage) is called a decision tree , and when applied in the area of machine learning is known as ...

  7. Rule induction - Wikipedia

    en.wikipedia.org/wiki/Rule_induction

    Decision Tree. Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data.

  8. Indian Institutes of Technology - Wikipedia

    en.wikipedia.org/wiki/Indian_Institutes_of...

    The electronic libraries allow students to access online journals and periodicals. The IITs and IISc, Bengaluru have taken an initiative along with Ministry of Education to provide free online videos of actual lectures of different disciplines under National Programme on Technology Enhanced Learning. This initiative is undertaken to make ...

  9. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    These terms are used both in statistical sampling, survey design methodology and in machine learning. Oversampling and undersampling are opposite and roughly equivalent techniques. There are also more complex oversampling techniques, including the creation of artificial data points with algorithms like Synthetic minority oversampling technique .