Results for "model-agnostic and model specific models"
Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Pragmatic AI Labs
Skills you'll gain: Responsible AI, Model Evaluation, AI Integrations, Model Deployment, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Prompt Engineering, Capacity Management, Scalability, Authentications, Data Validation
Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Engagement, Data Storytelling, Stakeholder Management, Stakeholder Analysis, Data Presentation, Data-Driven Decision-Making, Business Communication, Model Evaluation, Responsible AI
Skills you'll gain: Financial Modeling, Microsoft Excel, Financial Forecasting, Excel Formulas, Cash Flow Forecasting, Auditing, Business Modeling, Risk Analysis, Financial Analysis, Spreadsheet Software, Cash Flows, Business Valuation, Model Evaluation, Dependency Analysis, Verification And Validation, Quality Assurance
Coursera
Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Technical Communication
What brings you to Coursera today?
Pragmatic AI Labs
Skills you'll gain: Serverless Computing, Amazon Bedrock, AI Workflows, Prompt Engineering, YAML, AI Integrations, AI Orchestration, LLM Application, Model Deployment, Amazon Web Services, Generative Model Architectures, Model Evaluation, Rust (Programming Language), Large Language Modeling, Open Source Technology
Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)
Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms
Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis
Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
Skills you'll gain: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning
In summary, here are 10 of our most popular model-agnostic and model specific models courses
- AI Model Development & Deployment: Coursera
- ML Model Training & Validation: Coursera
- GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
- Explain Black-Box Models: Coursera
- Build and Evaluate Robust Financial Models: Coursera
- ML: Build, Train, Justify Models: Coursera
- AI Tooling Capstone: Serverless Multi-Model Systems: Pragmatic AI Labs
- Evaluate, Analyze, and Model Performance: Coursera
- Optimize ML Models: Hyperparameter Tuning : Coursera
- Validate, Analyze, and Monitor ML Models: Coursera
