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  • Ml部署面临的挑战

Results for "ml 部署面临的挑战"


  • Status: Preview
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    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Cleansing, Data Pipelines, Data Transformation, MLOps (Machine Learning Operations), Deep Learning, Application Deployment, Scalability, Machine Learning, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

    Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Google Cloud Platform, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Processing, Data Modeling, Data Management, Application Deployment, Continuous Deployment, Data Storage

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Transformer Models and BERT Model - 繁體中文

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, Artificial Neural Networks

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    BigQuery ML を推論に使用する

    Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Continuous Integration, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage, DevOps, Data Processing, Application Deployment, Data Management, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Machine Learning Methods, Continuous Integration, Automation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    817 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular ml 部署面临的挑战 courses

  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • MLOps with Vertex AI: Manage Features - Français: Google Cloud
  • Transformer Models and BERT Model - 繁體中文: Google Cloud
  • BigQuery ML を推論に使用する: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • MLOps with Vertex AI: Manage Features - Português Brasileiro: Google Cloud
  • Linear Algebra for ML and Analytics Training: Simplilearn

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