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  2. ML (programming language) - Wikipedia

    en.wikipedia.org/wiki/ML_(programming_language)

    ML (Meta Language) is a general-purpose, high-level, functional programming language.It is known for its use of the polymorphic Hindley–Milner type system, which automatically assigns the data types of most expressions without requiring explicit type annotations (type inference), and ensures type safety; there is a formal proof that a well-typed ML program does not cause runtime type errors. [1]

  3. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  4. Marie-Aimée de Kermorvan - Wikipedia

    en.wikipedia.org/wiki/Marie-Aimée_de_Kermorvan

    Marie-Aimée de Kermorvan or Marie-Aimée Vigoureux de Kermorvan (1904 – 1985) was a Mauritian writer and poet. She spent her childhood in Mauritius and later published several books of writing and poetry in French. She was identified as a leading writer at her country's independence in 1968.

  5. Standard ML - Wikipedia

    en.wikipedia.org/wiki/Standard_ML

    Poplog implements a version of Standard ML, along with Common Lisp and Prolog, allowing mixed language programming; all are implemented in POP-11, which is compiled incrementally. TILT is a full certifying compiler for Standard ML which uses typed intermediate languages to optimize code and ensure correctness, and can compile to typed assembly ...

  6. Computer science and engineering - Wikipedia

    en.wikipedia.org/wiki/Computer_science_and...

    CSE programs also include core subjects of theoretical computer science such as theory of computation, numerical methods, machine learning, programming theory and paradigms. [2] Modern academic programs also cover emerging computing fields like image processing , data science , robotics , bio-inspired computing , computational biology ...

  7. Feature engineering - Wikipedia

    en.wikipedia.org/wiki/Feature_engineering

    Feature engineering in machine learning and statistical modeling involves selecting, creating, transforming, and extracting data features. Key components include feature creation from existing data, transforming and imputing missing or invalid features, reducing data dimensionality through methods like Principal Components Analysis (PCA), Independent Component Analysis (ICA), and Linear ...

  8. Here are a few suggestions for planning out your final project. (Some of these can be small and incremental projects; so we also suggest that you try out one or two, in addition to whatever you choose for your final project.) This will give you good exposure to a variety of approaches to editing Wikipedia.

  9. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]