Results for "model-agnostic and model specific models"
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: 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
Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Systems Architecture, Engineering Software, Enterprise Modeling, Systems Analysis, Product Lifecycle Management, Process Modeling, Diagram Design, Solution Architecture, System Requirements, Requirements Analysis, Cloud Computing
KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy
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
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
What brings you to Coursera today?
Skills you'll gain: Financial Modeling, Model Evaluation, Financial Statements, Financial Statement Analysis, Excel Formulas, Financial Forecasting, Financial Accounting, Financial Reporting, Balance Sheet, Auditing, Microsoft Excel, Performance Stress Testing, Financial Auditing, Income Statement, Finance, Financial Data, Data Validation, Financial Analysis, Spreadsheet Software, Cash Flows
Skills you'll gain: Strategic Decision-Making, Microsoft Excel, Financial Modeling, Excel Formulas, Case Studies, Financial Analysis, Risk Analysis, Strategic Thinking, Financial Forecasting, Business Analysis, Spreadsheet Software, Risk Modeling, Financial Data, Data-Driven Decision-Making, Scenario Testing, Risk Management, Forecasting, Data Presentation, Presentations
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
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: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
In summary, here are 10 of our most popular model-agnostic and model specific models courses
- Explain Black-Box Models: Coursera
- AI Model Development & Deployment: Coursera
- Introduction to Model-Based Systems Engineering: Siemens
- Deploy ML Models to Production: KodeKloud
- ML Model Training & Validation: Coursera
- Build and Evaluate Robust Financial Models: Coursera
- Build & Validate Integrated Financial Models: Coursera
- Analyze Financial Models: Scenarios and Sensitivity: Coursera
- Probabilistic Graphical Models: Stanford University
- Optimize ML Models: Hyperparameter Tuning : Coursera
