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  • Ml部署面临的挑战

Results for "ml 部署面临的挑战"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    324 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Büyük Dil Modellerine Giriş

    Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Generative AI, Google Gemini

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 3 of our most popular ml 部署面临的挑战 courses

  • Python Essentials for MLOps: Duke University
  • 시퀀스 모델: DeepLearning.AI
  • Büyük Dil Modellerine Giriş: Google Cloud

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