Ensemble Models Courses and Certifications

MathWorks

Predictive Modeling and Machine Learning with MATLAB

89 reviews

Learn to build, evaluate, and optimize regression and classification models using MATLAB. Apply supervised machine learning workflows to real-world datasets and improve model performance through feature selection and hyperparameter tuning.

• Coursera
• 18 hours 52 minutes
• On-Demand
• Paid Course

Yannic Kilcher

Live Machine Learning Research - Plain Self-Ensembles - Part 1

Live implementation of a novel ensemble model using label-free self-distillation, demonstrating improved accuracy with more students and challenging assumptions about ensemble learning in machine learning research.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Coursera

Optimize AI: Build Robust Ensemble Models

Unlock advanced ensemble modeling techniques to balance performance with interpretability while mastering statistical validation for production AI systems.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Machine Learning Foundations for Product Managers

773 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 16 hours 2 minutes
• On-Demand
• Paid Course

Four Rare Machine Learning Skills All Data Scientists Need

Explore four critical yet often overlooked machine learning skills: uplift modeling, accuracy fallacy, p-hacking, and ensemble models. Gain essential conceptual knowledge for successful data science projects.

• Coursera
• 5 hours 32 minutes
• On-Demand
• Paid Course

Coursera Microcredential

AI Systems Reliability & Security

Master enterprise-grade AI system architecture with hands-on training in reliability, security, and multi-cloud scalability for production environments.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 8 courses

Coursera

MLOps in R: Deploying machine learning models using vetiver

Learn to deploy machine learning models efficiently using Vetiver in R. Build ensemble models, set up deployment frameworks, and monitor performance through a hospital readmission scenario.

• Coursera
• 2 hours 39 minutes
• On-Demand
• Paid Course

Packt

Intermediate Data Manipulation and Machine Learning

Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.

• Coursera
• 13 hours 16 minutes
• On-Demand
• Paid Course

Fraud Detection with AI - Ensemble of AI Models Improve Precision and Speed

Discover how ensemble AI models combine predictive ML and encoder LLMs to detect fraud in milliseconds, transforming real-time decision-making with structured and unstructured data analysis.

• YouTube
• 11 minutes
• On-Demand
• Free Video

Python for Data Science Essential Training Part 2

164 ratings at LinkedIn Learning

Learn Python programming skills for data science and machine learning. Discover how to clean, transform, analyze, and visualize data, as you build a practical, real-world project.

• LinkedIn Learning
• 7 hours 44 minutes
• On-Demand
• Free Trial Available

The Julia Programming Language

Ensemble Kalman Filtering for Stochastic Phase Field Models

Discover how Ensemble Kalman Filtering reduces uncertainty in stochastic phase field models of brittle fracture using Julia's scientific computing ecosystem.

• YouTube
• 16 minutes
• On-Demand
• Free Video

Machine learning in Python with scikit-learn

Build predictive models with scikit-learn and gain a practical understanding of the strengths and limitations of machine learning!

• France Université Numerique
• 36 hours
• On-Demand
• Free Online Course

Black Hat

Malware Classification With Machine Learning Enhanced by Windows Kernel Emulation

Explore hybrid machine learning for malware classification using static and dynamic analysis, Windows kernel emulation, and neural networks. Learn about adversarial ML and future developments.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

Black Hat

Protecting the Protector - Hardening Machine Learning Defenses Against Adversarial Attacks

Strategies for enhancing machine learning model resilience against tampering, comparing cloud and client-based models, and exploring defense techniques for endpoint protection systems.

• YouTube
• 50 minutes
• On-Demand
• Conference Talk

Databricks

PandasUDFs - Scaling Ensembles for Improved Predictions

Learn to scale models efficiently using PandasUDFs, a powerful technique for creating category-specific predictions and ensembles. Discover implementation tips, workarounds, and equivalents in R and Koalas.

• YouTube
• 38 minutes
• On-Demand
• Free Video