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  • Ml Metadata

Results for "ml metadata"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    220 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 日本語版

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

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 한국어

    Skills you'll gain: CI/CD, Google Cloud Platform, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Metadata Management, Scikit Learn (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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

    Machine Learning in the Enterprise - Italiano

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Data Pipelines, Business Workflow Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Continuous Integration, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

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

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 한국어

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

    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
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Applied Machine Learning, Data Processing, Regression Analysis, Machine Learning, Supervised Learning, Feature Engineering, Data Cleansing, Continuous Deployment, Unsupervised Learning

    Intermediate · Course · 1 - 4 Weeks

1…678…95

In summary, here are 10 of our most popular ml metadata courses

  • Foundations of AI and Machine Learning: Microsoft
  • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
  • MLOps with Vertex AI: Manage Features - Français: Google Cloud
  • ML Pipelines on Google Cloud - 한국어: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Machine Learning in the Enterprise - Italiano: Google Cloud
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
  • MLOps with Vertex AI: Manage Features - 한국어: Google Cloud

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