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  • Ml In Reservoir Engineering

Results for "ml in reservoir engineering"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, 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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures

    4.5
    Rating, 4.5 out of 5 stars
    ·
    258 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    L

    L&T EduTech

    Design of Hydropower Structures

    Skills you'll gain: Hydraulics, Structural Engineering, Civil Engineering, Hydrology, Water Resource Management, Environmental Engineering, Structural Analysis, Construction, Mechanical Design, Engineering Analysis, Engineering Design Process

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Planning of Hydropower Projects

    Skills you'll gain: Construction, Hydrology, Hydraulics, Water Resource Management, Civil Engineering, Water Quality, Environmental Engineering, Electrical Power, Structural Engineering, Geospatial Information and Technology, Engineering Analysis, Sustainable Technologies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Data Driven Manager

    Skills you'll gain: Sampling (Statistics), Engineering Management, Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Estimation, Statistical Visualization, Data Analysis, Sample Size Determination, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Leadership and Management, Technical Management, Leadership, R (Software), Box Plots, Problem Solving

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Project Management

    Skills you'll gain: User Story, Supplier Management, Project Schedules, Project Closure, Engineering Management, Milestones (Project Management), Team Leadership, Stakeholder Management, Scheduling, Agile Project Management, Scrum (Software Development), Procurement, Quality Management, Team Management, Project Planning, Agile Methodology, Project Scoping, Project Management, Risk Management, Stakeholder Communications

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    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
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Dataflow, Google Cloud Platform, Feature Engineering, Data Pipelines, Real Time Data, Unstructured Data, Tensorflow, Data Lakes, Apache Spark, Dashboard, Big Data, Serverless Computing, Applied Machine Learning, Data Warehousing, Cloud Engineering, PySpark, Cloud Storage, Data Processing, Scalability, Data Infrastructure

    4.4
    Rating, 4.4 out of 5 stars
    ·
    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Two-Phase Pipe Hydraulics and Pipe Sizing

    Skills you'll gain: Hydraulics, Chemical Engineering, Engineering Analysis, Mechanical Engineering, Process Engineering, Petroleum Industry, Engineering Calculations, Mathematical Modeling, Oil and Gas

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    402 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Large Language Model Operations (LLMOps): Duke University
  • Design of Hydropower Structures: L&T EduTech
  • Planning of Hydropower Projects: L&T EduTech
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • The Data Driven Manager: University of Colorado Boulder
  • Project Management: University of Colorado Boulder
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • Two-Phase Pipe Hydraulics and Pipe Sizing: L&T EduTech

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