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  • Machine Learning Docker Hub

Results for "machine learning docker hub"


  • 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, Feature Engineering, Data Integration, Data Transformation, Data Sharing, Data Management, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    534 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · 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), Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Machine Learning With Big Data

    Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Decision Tree Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Machine Learning Implementation and Operations in AWS

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - 한국어

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

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - Italiano

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

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Governance, Data Management, Data Processing, Applied Machine Learning, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation, Performance Tuning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Neural Networks, Computer Vision, Artificial Intelligence, Supervised Learning, Deep Learning, Image Analysis, Machine Learning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    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

1…678…543

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

  • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
  • AI Workflow: Enterprise Model Deployment: IBM
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Machine Learning With Big Data: University of California San Diego
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Machine Learning in the Enterprise - 한국어: Google Cloud
  • Machine Learning in the Enterprise - Italiano: Google Cloud
  • Machine Learning in the Enterprise - 日本語版: Google Cloud
  • Getting Started with Machine Learning at the Edge on Arm: Arm

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