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  • Ml部署面临的挑战

Results for "ml 部署面临的挑战"


  • Status: New
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    Status: Free Trial
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    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Data Management, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Transformer Models and BERT Model - 简体中文

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

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation

    4.5
    Rating, 4.5 out of 5 stars
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    87 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning in the Enterprise - 한국어

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

    Intermediate · Course · 1 - 3 Months

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    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
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    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

  • Status: Free Trial
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    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

    4.8
    Rating, 4.8 out of 5 stars
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    311 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

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    Google Cloud

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

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

    Intermediate · Course · 1 - 3 Months

  • 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

  • Status: Preview
    Preview
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    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: New
    New
    Status: Free Trial
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    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Applied Machine Learning, Large Language Modeling, Continuous Monitoring, Performance Tuning, Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

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

  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Transformer Models and BERT Model - 简体中文: Google Cloud
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Machine Learning in the Enterprise - 한국어: Google Cloud
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Managing Machine Learning Projects: Duke University
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud

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