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    Results for "ml 部署面临的挑战"

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

      Skills you'll gain: SPSS, Statistical Modeling, Social Sciences, Statistical Analysis, Correlation Analysis, SAS (Software), Quantitative Research, Data Analysis Software, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Mixed · Course · 3 - 6 Months

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

      Board Infinity

      Real-World Applications & Model Deployment in Java

      Skills you'll gain: MLOps (Machine Learning Operations), Java, Applied Machine Learning, Jenkins, Spring Framework, Machine Learning, Application Deployment, CI/CD, Data Ethics, Deep Learning, Artificial Intelligence, Spring Boot, Reinforcement Learning, Restful API, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Peking University

      面向对象技术高级课程(The Advanced Object-Oriented Technology)

      Skills you'll gain: Unified Modeling Language, Object Oriented Programming (OOP), Systems Analysis, Systems Design, Software Architecture, Software Design, C++ (Programming Language), Computer Programming, Java Programming, C# (Programming Language), Software Development, Software Development Methodologies, Requirements Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 3 - 6 Months

    • 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
      P

      Packt

      Foundations of ML & Python for Data Science

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

      Beginner · Course · 1 - 4 Weeks

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

      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, Generative AI, Performance Tuning

      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

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

      Board Infinity

      Machine Learning with Implementation in Java

      Skills you'll gain: Apache Spark, Deep Learning, Java Programming, Applied Machine Learning, Java, Natural Language Processing, Image Analysis, Application Deployment, Big Data, Statistical Analysis, Scalability, Data Processing, Machine Learning, Data Transformation, Data Cleansing, Text Mining, Machine Learning Algorithms, Regression Analysis

      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

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      ML Algorithms

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

      3.4
      Rating, 3.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Using Beam ML to catch Toxicity in Gaming

      Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), 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

    • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
    • Real-World Applications & Model Deployment in Java : Board Infinity
    • 面向对象技术高级课程(The Advanced Object-Oriented Technology): Peking University
    • Managing Machine Learning Projects: Duke University
    • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
    • Foundations of ML & Python for Data Science: Packt
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
    • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
    • Machine Learning with Implementation in Java: Board Infinity
    • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs

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