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  • Ml部署面临的挑战

Results for "ml 部署面临的挑战"


  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 日本語版

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud - Português

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

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Generative AI, Google Cloud Platform, Tensorflow, Artificial Intelligence, MLOps (Machine Learning Operations), Machine Learning, Data Pipelines, Cloud Computing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    프로덕션 머신러닝 시스템

    Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Google Cloud Platform, Distributed Computing, Scalability, Data Processing, Debugging

    Advanced · 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

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Ethics, Continuous Monitoring, Machine Learning, A/B Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Artificial Intelligence, Simulations, Computer Science, Computational Thinking, Programming Principles, Game Design, Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    319 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

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

    Intermediate · Course · 1 - 4 Weeks

  • 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

    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

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    3.7
    Rating, 3.7 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
  • ML Pipelines on Google Cloud - Português: Google Cloud
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • 프로덕션 머신러닝 시스템: Google Cloud
  • MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia: Google Cloud
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs

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