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  • Ml In Reservoir Engineering

Results for "ml+in+reservoir+engineering"


  • Status: New
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    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    University of Colorado Boulder

    Systems Engineering and Program Management

    Skills you'll gain: Failure Analysis, Engineering Management, Systems Engineering, Scope Management, Project Scoping, Risk Management, Root Cause Analysis, Program Management, Cost Management, Requirements Management, Contract Management, Project Risk Management, Project Management, Work Breakdown Structure, Change Management

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
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    54 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Resilience & Leadership: Tools, Methods, & Applications

    Skills you'll gain: Crisis Management, Systems Thinking, Leadership, Strategic Communication, Resilience, Business Continuity, Communication, Risk Analysis, Systems Engineering, Complex Problem Solving, Decision Making, Organizational Strategy, Vulnerability Assessments, Systems Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
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    62 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Unsupervised Learning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

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

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
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    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    PepsiCo

    Water Security & Stewardship

    Skills you'll gain: Water Sustainability, Water Resource Management, Water Resources, Hydrology, Water Quality, Stormwater Management, Corporate Sustainability, Stakeholder Engagement, Natural Resource Management, Environment and Resource Management, Supply Chain Management, Economic Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Tensorflow, CI/CD, Kubernetes, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, Model Evaluation, Containerization, Scalability

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Need for Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Requirements Analysis, Test Engineering, Systems Thinking, Systems Architecture, Test Planning, Systems Analysis, Functional Requirement, Risk Management Framework, System Testing, System Requirements, Verification And Validation

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    83 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular ml+in+reservoir+engineering courses

  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • Systems Engineering and Program Management: University of Colorado Boulder
  • Resilience & Leadership: Tools, Methods, & Applications: University of Colorado Boulder
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • Data and Machine Learning for Technical Product Managers: Coursera
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Water Security & Stewardship: PepsiCo

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