machine learning wikipedia - EAS

17-26 trong số 414,000 kết quả
  1. machine learning - Wiktionary

    https://en.wiktionary.org/wiki/machine_learning

    Noun. machine learning ( initialism ML ) ( artificial intelligence) A field of study concerned with the design and development of algorithms and techniques that allow computers to learn . quotations . 2019 February 3, “UN Study: China, US, Japan Lead World AI Development”, in Voice of America ‎ [1], archived from the original on 7 ...

  2. Machine learning - SEG Wiki

    https://wiki.seg.org/wiki/Machine_learning

    04/12/2019 · Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead.It is seen as a subset of artificial intelligence.Machine learning algorithms build a mathematical model based on sample data, …

  3. Machine Learning - MediaWiki

    https://www.mediawiki.org/wiki/Machine_Learning

    07/12/2021 · Our purpose. Design, build, and maintain the foundation's machine learning infrastructure. Plan, train, deploy, and manage production machine learning models created or requested by Wikimedia teams or Wiki communities. Develop best practices for applied ethical machine learning.

  4. Machine Learning - Verify.Wiki - Verified Encyclopedia

    verify.wiki/wiki/Machine_Learning

    Machine learning is a science that is concerned with making computers work without human intervention. Machine learning is an important way to solve the problem of Data mining. This technology has enabled self-driving cars, better web search, and a thorough understanding of human genome.[1] Machine learning evolved from the fields of computer science, statistics, …

  5. Machine learning - OpenStreetMap Wiki

    https://wiki.openstreetmap.org/wiki/Machine_Learning

    Machine Learning is a subdomain of Artificial Intelligence centered around the idea that machines can be trained to recognize patterns based on annotated input data. In the context of maps and OSM, a common application is to annotate a sample set of imagery (aerial or street-level) in order to automatically derive information and/or map ...

  6. 機器學習 - 維基百科,自由的百科全書

    https://zh.wikipedia.org/zh-tw/机器学习

    一種經常參照的英文定義是:A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.

  7. Pemelajaran mesin - Wikipedia bahasa Indonesia ...

    https://id.wikipedia.org/wiki/Pemelajaran_mesin

    Meskipun Machine Learning tidak dapat secara efektif memprediksi jengkel pengguna, kita masih percaya bahwa masih banyak yang bisa dilakukan untuk mencapai hasil yang lebih baik pada proyek ini. Pertama-tama, kumpulan data kami adalah kecil untuk metode pemelajaran mesin, kami ingin mengumpulkan lebih banyak data untuk melihat apakah ...

  8. INTRODUCTION MACHINE LEARNING

    https://ai.stanford.edu/~nilsson/MLBOOK.pdf · PDF tệp

    Machine learning methods can be used for on-the-job improvement of existing machine designs. The amount of knowledge available about certain tasks might be too large for explicit encoding by humans. Machines that learn this knowledge gradually might be able to capture more of it than humans would want to

  9. Makine öğrenimi - Vikipedi

    https://tr.wikipedia.org/wiki/Makine_öğrenimi

    Genetik programlama Tümevarımsal mantık programlama Akıllı sistem Makine öğrenimi algoritmaları Örüntü tanıma Özellik çıkarımı Kaynakça [değiştir | kaynağı değiştir] ^ a b Ethem Alpaydin (2020). Introduction to Machine Learning (Fourth bas.). MIT . ss. xix, 1-3, 13-18. ISBN 978-0262043793 . ^ Samuel, Arthur (1959). "Some Studies in Machine Learning Using the …

  10. KlassifikationsverfahrenWikipedia

    https://de.wikipedia.org/wiki/Klassifikationsverfahren

    Klassifikationsverfahren, auch Klassifizierungsverfahren, sind Methoden und Kriterien zur Einteilung (Klassierung) von Objekten oder Situationen in Klassen, das heißt zur Klassifizierung.Ein solches Verfahren wird auch als Klassifikator bezeichnet. Viele Verfahren lassen sich als Algorithmus implementieren; man spricht dabei auch von maschineller oder …



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