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    Results for "mlops (machine learning operations)"

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - 日本語版

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

      Intermediate · 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, Data Processing, Data Storage, DevOps, Data Modeling, Data Management, Applied Machine Learning, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - 한국어

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Français

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Google Cloud

      ML Pipelines on Google Cloud - Português

      Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Scikit Learn (Machine Learning Library), Containerization

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera

      Building a Machine Learning Solution

      Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    • 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

    • 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, Machine Learning Methods

      Intermediate · 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
      ·
      51 reviews

      Mixed · Course · 1 - 3 Months

    • 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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Methods in Machine Learning Applications

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    Searches related to mlops (machine learning operations)

    mlops | machine learning operations
    machine learning operations (mlops): getting started
    machine learning operations (mlops): getting started - español
    machine learning operations (mlops): getting started - français
    machine learning operations (mlops): getting started - 한국어
    machine learning operations (mlops) with vertex ai: manage features
    machine learning operations (mlops) with vertex ai: model evaluation - deutsch
    machine learning operations (mlops) with vertex ai: model evaluation - español
    1…789…595

    In summary, here are 10 of our most popular mlops (machine learning operations) courses

    • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
    • MLOps with Vertex AI: Manage Features - Português Brasileiro: Google Cloud
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
    • MLOps with Vertex AI: Manage Features - Français: Google Cloud
    • ML Pipelines on Google Cloud - Português: Google Cloud
    • Building a Machine Learning Solution: Coursera
    • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
    • MLOps with Vertex AI: Manage Features - Español: Google Cloud
    • Deploying Machine Learning Models: University of California San Diego

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