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    Results for "mlops (machine learning operations)"

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - Português

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Tensorflow, Continuous Deployment, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Machine Learning Methods, Feature Engineering, Containerization, Data Processing

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Português Brasileiro

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Processing, Data Storage, DevOps, Data Modeling, Data Management, Applied Machine Learning, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Español

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Processing, Data Modeling, Data Management, Data Storage Technologies, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      325 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 3 Months

    • 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
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      174 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - Français

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Tensorflow, Data Pipelines, Metadata Management, Machine Learning Methods, PyTorch (Machine Learning Library), Containerization, Application Programming Interface (API), Scalability

      Advanced · Course · 1 - 3 Months

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

      Board Infinity

      Java in Machine Learning

      Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Deep Learning, Java Programming, Java, Applied Machine Learning, Jenkins, Spring Framework, Image Analysis, Application Deployment, Big Data, Statistical Analysis, Scalability, Decision Tree Learning, Machine Learning, Spring Boot, Regression Analysis, Reinforcement Learning, Natural Language Processing, Debugging

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Production Machine Learning Systems - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Software Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines

      Advanced · Course · 1 - 3 Months

    • 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, Data Modeling, Business Requirements, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      745 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to mlops (machine learning operations)

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    machine learning operations (mlops): getting started - 한국어
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    In summary, here are 10 of our most popular mlops (machine learning operations) courses

    • ML Pipelines on Google Cloud - Português: Google Cloud
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • MLOps with Vertex AI: Manage Features - Português Brasileiro: Google Cloud
    • MLOps with Vertex AI: Manage Features - Español: Google Cloud
    • Machine Learning for Data Analysis: Wesleyan University
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • ML Pipelines on Google Cloud - Français: Google Cloud
    • Java in Machine Learning: Board Infinity

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