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  • Machine Learning In Distributed Environments

Results for "machine learning in distributed environments"


  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
    ·
    321 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: New
    New
    P

    Packt

    Data Science Model Deployments and Cloud Computing on GCP

    Skills you'll gain: Docker (Software), CI/CD, Cloud Computing Architecture, Application Performance Management, Apache Spark, Google App Engine

    Intermediate · 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

  • G

    Google Cloud

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

    Skills you'll gain: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Classify Images with TensorFlow Convolutional Neural Networks

    Skills you'll gain: Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Google Cloud Platform, Cloud Computing, Scientific Visualization

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 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
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    687 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Tensorflow, Kubernetes, Scalability, Application Deployment, Image Analysis, Cloud Computing, MLOps (Machine Learning Operations), System Monitoring, Cloud Management, Cloud Storage, Data Management

    Intermediate · 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

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

  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Data Science Model Deployments and Cloud Computing on GCP: Packt
  • Distributed Image Processing in Cloud Dataproc: Google Cloud
  • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
  • Classify Images with TensorFlow Convolutional Neural Networks: Google Cloud
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • Machine Learning Foundations for Product Managers: Duke University

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