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    Results for "machine learning docker hub"

    • 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
      C

      CertNexus

      Follow a Machine Learning Workflow

      Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Feature Engineering, Data Modeling, Process Management, Application Deployment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

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

      Board Infinity

      Machine Learning Fundamentals for Java Developers

      Skills you'll gain: Decision Tree Learning, Regression Analysis, Debugging

      Beginner · 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: Free Trial
      Free Trial
      W

      Whizlabs

      Machine Learning Implementation and Operations in AWS

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Applied Machine Learning, Amazon Web Services, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Application Deployment, Cloud Security, Data Management, Disaster Recovery, Data Security

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Machine Learning Image Classifier with Python

      Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Pipelines with TensorFlow Data Services

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Feature Engineering, Data Transformation, Data Sharing, Data Management, Data Validation, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      534 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      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: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Containerization, Workflow Management, IBM Cloud, Machine Learning, Performance Analysis, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming, Design Thinking

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Advanced · 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

    • C

      Coursera Project Network

      AWS AutoGluon for Machine Learning Classification

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Auto Machine Learning (AutoML) Using AutoGluon

      Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Amazon Web Services, Python Programming, Prototyping

      Beginner · Guided Project · Less Than 2 Hours

    1…8910…490

    In summary, here are 10 of our most popular machine learning docker hub courses

    • Cloud Machine Learning Engineering and MLOps: Duke University
    • Follow a Machine Learning Workflow: CertNexus
    • Machine Learning Fundamentals for Java Developers: Board Infinity
    • Machine Learning with Implementation in Java: Board Infinity
    • Machine Learning Implementation and Operations in AWS: Whizlabs
    • Build a Machine Learning Image Classifier with Python: Coursera Project Network
    • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
    • Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
    • AI Workflow: AI in Production: IBM
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs

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