खोज परिणाम - "Machine learning."

परिणाम को परिष्कृत करें
  1. 31

    Introduction to machine learning द्वारा Alpaydin, Ethem

    प्रकाशित 2014
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  2. 32

    Practical mathematics for AI and deep learning a concise yet in-depth guide on fundamentals of computer vision, NLP, complex deep neural networks and machine learning द्वारा Ghosh, Tamoghna, Math, Shravan Kumar Belagal

    प्रकाशित 2023
    पुस्तक


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  3. 33

    Hardware-aware probabilistic machine learning models learning, inference and use cases द्वारा Galindez Olascoaga, Laura Isabel, Meetr, Wannes, Verhelst, Marian

    प्रकाशित 2021
    पूर्ण पाठ प्राप्त करें
    पूर्ण पाठ प्राप्त करें
    Electronic Resource


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  4. 34

    Dataset shift in machine learning

    प्रकाशित 2009
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  5. 35

    Machine learning for evolution strategies द्वारा Kramer, Oliver

    प्रकाशित 2016
    Available for University of the Philippines System via SpringerLink. Click here to access
    Also available remotely for University of the Philippines System via SpringerLink. Click here to access thru EZproxy
    Electronic Resource


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  6. 36

    Machine learning foundations supervised, unsupervised, and advanced learning द्वारा Jo, Taeho

    प्रकाशित 2021
    Available for University of the Philippines System via SpringerLink. Click here to access
    Also available remotely for the University of the Philippines System via SpringerLink. Click here to access thru EZproxy
    Electronic Resource


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  7. 37

    Principle Components and Importance Ranking of Distributed Anomalies. द्वारा Begnum, Kyrre

    में प्रकाशित Machine learning.
    लेख


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  8. 38

    Machine learning and data mining methods and applications

    प्रकाशित 1998
    पुस्तक


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  9. 39

    Machine learning द्वारा Mitchell, Tom M. (Tom Michael) 1951-

    प्रकाशित 1997
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  10. 40

    Machine learning refined foundations, algorithms, and applications द्वारा Watt, Jeremy, Borhani, Reza, Katsaggelos, Aggelos Konstantinos 1956-

    प्रकाशित 2020
    Available for University of the Philippines Diliman College of Engineering via eTextbooks under Cambridge Platform. Click here to access
    Electronic Resource


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