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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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    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Supervised Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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

    4.2
    Rating, 4.2 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    ML Pipelines on Google Cloud en Español

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

    Advanced · Course · 1 - 3 Months

  • 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
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    220 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management, Continuous Monitoring, Enterprise Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

    3.6
    Rating, 3.6 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Google Cloud

    Introduction to Large Language Models - 繁體中文

    Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, LLM Application, Artificial Intelligence, Application Development

    Beginner · Course · 1 - 4 Weeks

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

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    745 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

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

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

    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

  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
  • Foundations of ML & Python for Data Science: Packt
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Foundations of AI and Machine Learning: Microsoft
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • ML Algorithms: Whizlabs
  • Introduction to Large Language Models - 繁體中文: Google Cloud
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs

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