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#Ensemble Learning

Showing: 25 courses
5 Minutes Engineering

Machine Learning

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Comprehensive Hindi course covering machine learning fundamentals, algorithms, and practical implementations using Python, with real-world examples and solved problems.
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69 Lesons
10 hours
On-Demand
Free-Video
Stanford University

Few-Shot Chest X-Ray Diagnosis Using Clinical and Literature Images

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Explore innovative few-shot learning methods for chest X-ray diagnosis using clinical and literature images, enhancing radiology image analysis with advanced machine learning techniques.
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36 Lesons
1 hour 6 minutes
On-Demand
Free-Video

Random Forests

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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.
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3 Lesons
30 minutes
On-Demand
Free-Video

Decision Trees and Ensemble Methods

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Explore decision trees, ensemble methods, and advanced techniques like random forests and boosting algorithms for improved machine learning model performance.
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36 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Great Learning

Ensemble Learning - Decision Tree Algorithm - Gini Index

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Master ensemble learning techniques, decision trees, and boosting methods. Hands-on demos with real datasets enhance understanding of these powerful machine learning concepts for improved model performance.
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6 Lesons
3 hours 24 minutes
On-Demand
Free-Video
Great Learning

Boosting

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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.
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14 Lesons
1 hour 44 minutes
On-Demand
Free-Video
Great Learning

Bagging and Boosting

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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.
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7 Lesons
1 hour 35 minutes
On-Demand
Free-Video
5 Minutes Engineering

Complete Machine Learning Course - From Basics to Advanced Concepts

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Comprehensive Hindi guide covering ML fundamentals, supervised/unsupervised learning, reinforcement, ensemble methods, neural networks, and genetic algorithms for exam preparation.
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8 Lesons
5 hours 19 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Scientific Text Mining and Knowledge Graphs

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Explore scientific text mining and knowledge graphs, focusing on sequence labeling, multi-output models, and ensemble learning for information extraction and table component analysis.
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19 Lesons
34 minutes
On-Demand
Free-Video
UofU Data Science

Boosting and Ensembles in Machine Learning - Lecture 19

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Dive into advanced boosting and ensemble techniques in machine learning, exploring methods to combine multiple models for improved predictive performance and robustness.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Boosting and Ensemble Methods in Machine Learning - Lecture 18

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Dive into boosting algorithms and learn how to combine weak learning rules to create powerful predictive models in machine learning applications.
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1 Lesons
35 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning: Boosting and Ensemble Methods - Lecture 19

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Dive into advanced boosting techniques and ensemble methods to transform weak learning algorithms into powerful predictive models for enhanced machine learning capabilities.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Software Engineering Courses - SE Courses

Logistic Regression and Ensemble Learning - Bagging and Boosting - AdaBoost

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Explore logistic regression, ensemble learning, bagging, and boosting in this AI/ML course. Learn AdaBoost and decision stumps for strong non-linear classification.
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18 Lesons
44 minutes
On-Demand
Free-Video
MITCBMM

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

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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.
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16 Lesons
39 minutes
On-Demand
Free-Video
Valence Labs

Pre-trained Ensembles for Bayesian Optimization of Protein Sequences

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Explore pre-trained ensembles for Bayesian optimization of protein sequences, enabling accurate predictions with minimal data and guiding iterative design for novel peptide inhibitors.
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8 Lesons
49 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

FADE - FAir Double Ensemble Learning for Observable and Counterfactual Outcomes

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Learn a novel machine learning approach for fair prediction of both observable and counterfactual outcomes, enhancing decision-making in various domains.
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1 Lesons
15 minutes
On-Demand
Free-Video
Black Hat

Mem2Img - Memory-Resident Malware Detection via Convolution Neural Network

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Innovative framework using convolutional neural networks to detect memory-resident malware, overcoming limitations of traditional antivirus software and handcrafted feature-based approaches.
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1 Lesons
28 minutes
On-Demand
Free-Video
UofU Data Science

Boosting and Ensembles in Machine Learning - Lecture 18b

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Discover how to transform weak learning algorithms into powerful predictive models through boosting and ensemble techniques in machine learning.
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1 Lesons
14 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

AI-Based Wafer Defect Detection Using Anomaly Detection - Real-Time Implementation

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Discover advanced AI techniques for real-time wafer defect detection through unsupervised and semi-supervised learning, focusing on anomaly detection and segmentation in industrial manufacturing environments.
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1 Lesons
20 minutes
On-Demand
Free-Video
Data Science Conference

Delivering Delivery Time Prediction - Machine Learning Lessons and Model Optimization

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Discover practical insights into ML model development, from handling unclear requirements to ensemble classification techniques and determining optimal probability cutoffs for delivery predictions.
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1 Lesons
26 minutes
On-Demand
Free-Video
DigitalSreeni

Improving Semantic Segmentation - U-Net Performance via Ensemble of Multiple Trained Networks

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Enhance U-Net performance for semantic segmentation using ensemble methods with ResNet34, Inception V3, and VGG16 networks. Includes code, dataset, and practical implementation tips.
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18 Lesons
30 minutes
On-Demand
Free-Video
AutoML Seminars

AutoGluon 1.0 - Shattering SOTA with Zeroshot-HPO and Dynamic Stacking

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Discover how AutoGluon 1.0 revolutionizes machine learning with Zeroshot-HPO and Dynamic Stacking, achieving superior performance in automated model training and ensemble stability.
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1 Lesons
45 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

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

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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.
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1 Lesons
54 minutes
On-Demand
Free-Video
Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Democratizing Deep Learning with DeepHyper

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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.
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4 Lesons
1 hour 1 minute
On-Demand
Free-Video
Serrano.Academy

Understanding AdaBoost - Ensemble Learning with Weighted Classifiers

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Discover how AdaBoost combines multiple weak learners into a powerful ensemble model, with hands-on Python implementation and practical insights into weighted voting mechanisms.
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8 Lesons
18 minutes
On-Demand
Free-Video