Главная
Study mode:
on
You
History
Saved
In progress 0 courses
compleat 0 courses
#Art & Design #Adobe #ChatGPT #GitHub

#Adaboost

Showing: 11 courses
Great Learning

Boosting

0 rewiews
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.
Add to list
14 Lesons
1 hour 44 minutes
On-Demand
Free-Video

Machine Learning

0 rewiews
Comprehensive 7-day exploration of key machine learning algorithms, from regression techniques to clustering methods, enhancing data science skills through live interactive sessions.
Add to list
8 Lesons
11 hours
On-Demand
Free-Video
UofU Data Science

Boosting and Ensembles in Machine Learning - Lecture 19

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

Boosting and Ensemble Methods in Machine Learning - Lecture 18

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

Machine Learning: Boosting and Ensemble Methods - Lecture 19

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

Logistic Regression and Ensemble Learning - Bagging and Boosting - AdaBoost

0 rewiews
Explore logistic regression, ensemble learning, bagging, and boosting in this AI/ML course. Learn AdaBoost and decision stumps for strong non-linear classification.
Add to list
18 Lesons
44 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

AdaBoost, Clearly Explained

0 rewiews
Clear explanation of AdaBoost algorithm, covering key concepts like decision stumps, sample weighting, and ensemble learning. Ideal for those familiar with decision trees and random forests.
Add to list
11 Lesons
21 minutes
On-Demand
Free-Video
UofU Data Science

Boosting and Ensembles in Machine Learning - Lecture 18b

0 rewiews
Discover how to transform weak learning algorithms into powerful predictive models through boosting and ensemble techniques in machine learning.
Add to list
1 Lesons
14 minutes
On-Demand
Free-Video
Shaw Talebi

10 Decision Trees are Better Than 1 - Random Forest and AdaBoost

0 rewiews
Explore tree ensembles: Random Forest and AdaBoost. Learn bagging, boosting techniques, and their benefits. Apply knowledge to breast cancer prediction using example code.
Add to list
7 Lesons
17 minutes
On-Demand
Free-Video
PCS Institute for Basic Science

Resource Saving via Ensemble Techniques for Quantum Neural Networks

0 rewiews
Explore ensemble techniques for quantum neural networks, enhancing performance and mitigating hardware noise. Learn about bagging and AdaBoost methods for resource-efficient, large-scale quantum models.
Add to list
1 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Serrano.Academy

Understanding AdaBoost - Ensemble Learning with Weighted Classifiers

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