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    Results for "ml 部署面临的挑战"

    • Status: Free Trial
      Free Trial
      D

      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
      ·
      265 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      A

      Alberta Machine Intelligence Institute

      실용 머신 러닝 소개

      Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Business Priorities, Training Records Management, Data Collection, Business Process, Machine Learning Algorithms, Artificial Intelligence, Data Quality, Performance Metric

      Intermediate · Course · 1 - 4 Weeks

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

      Whizlabs

      Azure ML: Designing and Preparing Machine Learning Solutions

      Skills you'll gain: Data Management, Data Pipelines, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Data Cleansing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      810 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      G

      Google Cloud

      Introduction to Large Language Models - 简体中文

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Application Development, Google Cloud Platform

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Google Cloud

      Introduction to Large Language Models - 繁體中文

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Google Cloud

      Transformer Models and BERT Model - 简体中文

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Software Architecture

      Advanced · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      331 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      Data and Machine Learning for Technical Product Managers

      Skills you'll gain: Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, R Programming, Data Visualization

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      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, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      86 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Vertex Pipelines: Qwik Start

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Pipelines, Tensorflow, Machine Learning

      Intermediate · Project · Less Than 2 Hours

    1…8910…110

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

    • Managing Machine Learning Projects: Duke University
    • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
    • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
    • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
    • Introduction to Large Language Models - 简体中文: Google Cloud
    • Introduction to Large Language Models - 繁體中文: Google Cloud
    • Transformer Models and BERT Model - 简体中文: Google Cloud
    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
    • Data and Machine Learning for Technical Product Managers: Coursera Instructor Network
    • Cloud Machine Learning Engineering and MLOps: Duke University

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