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  • Consensus Models


Results for "consensus models"


  • S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    759 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Build and Evaluate Robust Financial Models

    Skills you'll gain: Financial Modeling, Microsoft Excel, Financial Forecasting, Excel Formulas, Cash Flow Forecasting, Auditing, Business Modeling, Data Modeling, Risk Analysis, Financial Analysis, Spreadsheet Software, Business Analytics, Cash Flows, Business Valuation, Verification And Validation, Quality Assurance

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Prompt Engineering Generative AI & LLM Models Fundamentals

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, Retrieval-Augmented Generation, Natural Language Processing, Model Evaluation, Data Cleansing, Transfer Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, IBM Cloud, Artificial Neural Networks, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    310 reviews

    Beginner · Course · 1 - 4 Weeks

  • The Google AI Certificate that powers your career

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  • C

    Coursera

    Deploying Open Models

    Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, MLOps (Machine Learning Operations), Hugging Face, Generative AI, Cloud Computing Architecture, Serverless Computing, Cloud Hosting, Cloud Technologies, AWS SageMaker, System Monitoring, Release Management, Application Security, Infrastructure Security, Continuous Monitoring, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…246

In summary, here are 10 of our most popular consensus models courses

  • Probabilistic Graphical Models: Stanford University
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Build and Evaluate Robust Financial Models: Coursera
  • Generative AI and Large Language Models: Coursera
  • Prompt Engineering Generative AI & LLM Models Fundamentals: Whizlabs
  • Deploy ML Models to Production: KodeKloud
  • Generative AI: Foundation Models and Platforms: IBM
  • Deploying Open Models: Coursera
  • Regression Models: Johns Hopkins University
  • Optimizing Models for Production: Coursera

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