Results for "consensus+models"
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Data Integrity, Data Quality, Data Maintenance, System Monitoring, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Status: PreviewStanford University
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
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging
Status: Free TrialStanford University
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
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
What brings you to Coursera today?
Status: NewStatus: Free TrialPragmatic AI Labs
Skills you'll gain: Prompt Engineering, Hugging Face, Generative AI, Unstructured Data, JSON
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting
Status: NewStatus: Free TrialSkills you'll gain: Verification And Validation, Data Pipelines
Status: NewStatus: Free TrialPragmatic AI Labs
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Rust (Programming Language), Cloud Deployment, Application Deployment, CI/CD, Performance Tuning, Large Language Modeling, Performance Testing, Cryptography
In summary, here are 10 of our most popular consensus+models courses
- Partition & Monitor AI Models Effectively: Coursera
- Social and Economic Networks: Models and Analysis: Stanford University
- Automate, Evaluate and Deploy ML Models Confidently: Coursera
- Engineer & Explain AI Model Decisions: Coursera
- Probabilistic Graphical Models: Stanford University
- Optimize AI: Build Robust Ensemble Models: Coursera
- Large Language Models with Hugging Face: Pragmatic AI Labs
- Optimize AI: Build Reusable Model Pipelines: Coursera
- Engineer Features and Evaluate Models for Production: Coursera
- Core generative models and techniques: Microsoft
