machine learning wikipedia - EAS

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    Machine learning - Wikipedia

    https://en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make

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    Learning algorithms work on the basis that strategies, algorithms, and inferences that worked well in the past are likely to continue working well in the future. These inferences can be obvious, such as "since the sun rose every

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    The term machine learning was coined in 1959 by Arthur Samuel, an American IBMer and pioneer in the field of computer gaming and artificial intelligence. Also the synonym self-teaching computers was used in this time period. A representative book of the machine

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    A core objective of a learner is to generalize from its experience. Generalization in this context is the ability of a learning machine to

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    There are many applications for machine learning, including:
    Agriculture
    Anatomy

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    Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results. Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen

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    Classification of machine learning models can be validated by accuracy estimation techniques like the holdoutmethod, which splits the data in a training

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    Machine learning approaches are traditionally divided into three broad categories, depending on the nature of the "signal" or "feedback"

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  2. Học máy – Wikipedia tiếng Việt

    https://vi.wikipedia.org/wiki/Học_máy

    Học máy (tiếng Anh: machine learning) là một lĩnh vực của trí tuệ nhân tạo liên quan đến việc nghiên cứu và xây dựng các kĩ thuật cho phép các hệ thống "học" tự động từ dữ liệu để giải quyết những vấn đề cụ thể. Ví dụ như các máy có thể "học" cách phân loại thư điện tử xem có phải thư rác (spam) hay không và tự động xếp thư vào thư mục tương ứng. Học máy rất gần với suy diễn thống kê (statistical inference) tuy có khác nhau về thuật ngữ.

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  3. Outline of machine learning - Wikipedia

    https://en.wikipedia.org/wiki/Outline_of_machine_learning

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

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    • Machine learning - Simple English Wikipedia, the free ...

      https://simple.wikipedia.org/wiki/Machine_learning

      Machine learning gives computers the ability to learn without being explicitly programmed (Arthur Samuel, 1959). It is a subfield of computer science.. The idea came from work in artificial intelligence. Machine learning explores the study and construction of algorithms which can learn and make predictions on data. Such algorithms follow programmed instructions, but can also …

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      • Apprentissage automatique — Wikipédia

        https://fr.wikipedia.org/wiki/Apprentissage_automatique
        • Depuis l'antiquité, le sujet des machines pensantes préoccupe les esprits. Ce concept est la base de pensées pour ce qui deviendra ensuite l'intelligence artificielle, ainsi qu'une de ses sous-branches : l'apprentissage automatique. La concrétisation de cette idée est principalement due à Alan Turing (mathématicien et cryptologue britannique) et à son concept de la « machine univer…
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      • Μηχανική μάθηση - Βικιπαίδεια

        https://el.wikipedia.org/wiki/Μηχανική_μάθηση
        • O Tom M. Mitchell πρότεινε έναν πιο επίσημο ορισμό που χρησιμοποιείται ευρέως: «Ένα πρόγραμμα υπολογιστή λέγεται ότι μαθαίνει από εμπειρία E ως προς μια κλάση εργασιών T και ένα μέτρο επίδοσης P, αν η επίδοσή του σε εργασίες της κλάσης Τ, όπως αποτιμάται από το μέτρο Ρ, βελτιώνεται με την εμπειρία Ε». Αυτός ο ορισμός είναι σημαντικός για τον καθορισμό τη…
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