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  • Machine Learning In Distributed Environments

Results for "machine learning in distributed environments"


  • G

    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Cloud Computing, Development Environment

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Applied Machine Learning, Business Strategy, Data Maintenance, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

    4.4
    Rating, 4.4 out of 5 stars
    ·
    51 reviews

    Mixed · 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, 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

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Deploying Machine Learning Models

    Skills you'll gain: Data Manipulation, Applied Machine Learning, Flask (Web Framework), Application Deployment, Django (Web Framework), Web Applications, Data Processing, Predictive Modeling, Machine Learning, Regression Analysis, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    52 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Distributed Image Processing in Cloud Dataproc

    Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free
    Free
    D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Large Language Modeling, PyTorch (Machine Learning Library), Secure Coding, Personally Identifiable Information, Information Privacy, Distributed Computing, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    653 reviews

    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: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

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

    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

1…789…834

In summary, here are 10 of our most popular machine learning in distributed environments courses

  • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Deploying Machine Learning Models: University of California San Diego
  • Distributed Image Processing in Cloud Dataproc: Google Cloud
  • Intro to Federated Learning: DeepLearning.AI
  • Developing AI Applications on Azure: LearnQuest
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs

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