Ensemble Learning Courses and Certifications

Advanced AI and Machine Learning Techniques and Capstone

Master advanced AI techniques, from ensemble methods to ethical GenAI implementation, while building scalable systems and completing a real-world capstone project using Microsoft Azure.

• Coursera
• On-Demand
• Free Online Course (Audit)

Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法

2 reviews

Unraveling the mysteries of Data Mining and Big Data, this course is a must-have for any budding Data Scientist. 最有趣的理论+最有用的算法=不得不学的数据科学。

• edX
• 14 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Random Forests

Learn to build, evaluate, and implement Random Forests, including handling missing data and clustering. Gain practical skills using R for this powerful machine learning technique.

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

Classification Using Tree Based Models

82 ratings at Pluralsight

Classification problems are common in all domains and tree based models are very effective solutions to these problems. This course is all about tree based models, from simple decision trees, to complex ensemble learning techniques, and more.

• Pluralsight
• 1 hour 57 minutes
• On-Demand
• Free Trial Available

Designing a Machine Learning Model

42 ratings at Pluralsight

This course covers the important differences between various canonical problems in machine learning, as well as the considerations in choosing the right solution techniques, based on the specifics of the problem you are trying to solve and the data that…

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

Employing Ensemble Methods with scikit-learn

15 ratings at Pluralsight

This course covers the theoretical and practical aspects of building ensemble learning solutions in scikit-learn; from random forests built using bagging and pasting to adaptive and gradient boosting and model stacking and hyperparameter tuning.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Machine Learning Course for Beginners

Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

• freeCodeCamp
• 10 hours
• On-Demand
• Free Video

Great Learning

Boosting

Explore ensemble learning techniques like boosting to enhance machine learning performance. Learn about bias, variance, and popular algorithms for improved model accuracy and decision-making.

• YouTube
• 1 hour 44 minutes
• On-Demand
• Free Video

Great Learning

Bagging and Boosting

Explore ensemble learning techniques like bagging and boosting to improve machine learning model performance. Learn how to combine multiple algorithms for better results across various domains.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Scientific Text Mining and Knowledge Graphs

Explore scientific text mining and knowledge graphs, focusing on sequence labeling, multi-output models, and ensemble learning for information extraction and table component analysis.

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

MITCBMM

Machine Learning Techniques and Applications in Finance, Healthcare and Recommendation Systems

Explore state-of-the-art machine learning techniques and their applications in finance, healthcare, and recommendation systems, focusing on ensemble methods, collaborative filtering, and portfolio construction.

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

Association for Computing Machinery (ACM)

FADE - FAir Double Ensemble Learning for Observable and Counterfactual Outcomes

Learn a novel machine learning approach for fair prediction of both observable and counterfactual outcomes, enhancing decision-making in various domains.

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

Black Hat

Mem2Img - Memory-Resident Malware Detection via Convolution Neural Network

Innovative framework using convolutional neural networks to detect memory-resident malware, overcoming limitations of traditional antivirus software and handcrafted feature-based approaches.

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

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Democratizing Deep Learning with DeepHyper

Explore DeepHyper: Automate DNN design for scientific data using scalable neural architecture and hyperparameter search. Learn to generate DNN ensembles for uncertainty estimation in various applications.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

The Structure around Real World Problems: Decisions, Knowledge, and Meaning

Explore AI's role in real-world problem-solving, focusing on decisions, knowledge, and meaning. Gain insights from Boeing's AI Chief Technologist on robust systems and autonomous flight.

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