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#Ensemble Methods

Showing: 24 courses
NPTEL

Pattern Recognition

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Comprehensive exploration of statistical pattern recognition, covering Bayes classifiers, density estimation, linear discriminants, neural networks, SVMs, and advanced learning techniques.
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41 Lesons
1 day 16 hours
On-Demand
Free-Video
NPTEL

Pattern Recognition

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This course provides a fairly comprehensive view of the fundamentals of pattern classification and regression. Topics covered in the lectures include an overview of pattern classification and regression; Bayesian decision making and Bayes classifier
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30 Lesons
1 day 5 hours
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
The Julia Programming Language

NeuroTree - A Differentiable Tree Operator for Tabular Data

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Explore NeuroTree, a differentiable tree operator for tabular data, addressing traditional tree limitations through simultaneous node learning and built-in ensemble techniques.
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1 Lesons
12 minutes
On-Demand
Free-Video

Machine Learning

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Comprehensive 7-day exploration of key machine learning algorithms, from regression techniques to clustering methods, enhancing data science skills through live interactive sessions.
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8 Lesons
11 hours
On-Demand
Free-Video
Georgia Tech Research

Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States

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Explore COVID-19 data curation and forecasting techniques for county-level death counts in the US, including ensemble methods and prediction intervals for informed decision-making.
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1 Lesons
58 minutes
On-Demand
Free-Video
Alan Turing Institute

Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities

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Explore machine learning and data science applications in medicine, focusing on AutoPrognosis - an automated system for creating tailored, interpretable, and accurate prognostic models for various diseases.
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20 Lesons
46 minutes
On-Demand
Free-Video
Open Data Science

Building Robust and Scalable Recommendation Engines for Online Food Delivery

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Unlock the power of recommendation engines for food delivery. Learn data preprocessing, feature engineering, and scalable algorithms to create personalized recommendations using the DHRD dataset.
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9 Lesons
25 minutes
On-Demand
Free-Video
BIMSA

Empowering the Data Science Ecosystem for Whole Genome Sequencing Analysis Using ML Methods and Tools

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Explore advanced methods for analyzing whole genome sequencing data using machine learning and ensemble techniques. Learn to leverage biobanks and electronic health records for powerful genetic insights.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Enhancing Machine Learning Applications with Wisdom of the Crowd

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Explore ensemble techniques to boost ML model performance, explainability, and usability for complex problems by leveraging multiple specialized models.
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1 Lesons
28 minutes
On-Demand
Free-Video
Alan Turing Institute

Pragmatically Ambitious Multiscale Global Temperature Reconstruction - Finn Lindgren, Edinburgh

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Explore pragmatic approaches to global temperature reconstruction using multiscale models, data sources, and statistical techniques for uncertainty quantification and bias correction.
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21 Lesons
41 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Inference - Lecture 2

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Explore Bayesian inference principles, methods, and applications in data assimilation for weather and climate modeling. Gain insights into uncertainty estimation and practical implementation.
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1 Lesons
1 hour 37 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Ocean Data Assimilation - Lecture 2

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Explore advanced ocean data assimilation techniques, their applications in climate modeling, and methods for integrating diverse oceanic observations to improve forecasting accuracy and understanding of marine systems.
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1 Lesons
1 hour 26 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Fundamentals - Lecture 8

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Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Population-Based Methods for Single- and Multi-Agent Reinforcement Learning - Lecture

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Explore population-based methods for reinforcement learning, including MeanQ for single-agent scenarios and XDO for multi-agent adversarial environments. Gain insights into ensemble techniques and game theory applications.
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25 Lesons
51 minutes
On-Demand
Free-Video
Yannic Kilcher

Deep Ensembles: A Loss Landscape Perspective

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Explore deep ensembles' effectiveness in neural networks, their superiority over Bayesian models, and how they capture non-convex loss landscapes to improve generalization and robustness in AI.
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14 Lesons
47 minutes
On-Demand
Free-Video
echohive

Prototype of a GPT Based Swarm Intelligence System as Example to Inspire More Advanced Swarm Systems

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Explore a prototype GPT-based swarm intelligence system, demonstrating ensemble approaches and inspiring advanced swarm development. Includes code reviews, parallelism, and comparisons to true swarm behavior.
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5 Lesons
22 minutes
On-Demand
Free-Video
Launchpad

Deep Ensembles: A Loss Landscape Perspective

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Explore deep ensemble learning through loss landscapes, examining function similarity, subspace sampling, and prediction space analysis for improved model performance.
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10 Lesons
35 minutes
On-Demand
Free-Video
Nvidia

Building a Winning Deep Learning Recommender System - Grandmaster Series Episode 5

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Learn how Kaggle Grandmasters built a winning Deep Learning Recommender System for Booking.com, using matrix factorization, ensemble models, and data augmentation techniques. Gain insights into GPU-accelerated recommender systems.
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10 Lesons
49 minutes
On-Demand
Free-Video
Open Data Science

Robustness to Adversarial Inputs and Tail Risk via Boosting - Machine Learning Model Defense Strategies

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Explore innovative strategies for robust machine learning models against adversarial inputs and tail risks, focusing on ensemble methods and risk-sensitive decision-making in high-stakes environments.
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8 Lesons
47 minutes
On-Demand
Free-Video
PyCon US

Patterns of ML Models in Production

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Explore ML model deployment patterns for production, covering online serving, offline processing, and scalable frameworks like Ray Serve, with insights from 100+ user interviews.
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15 Lesons
26 minutes
On-Demand
Free-Video
EuroPython Conference

Machine Learning - Power of Ensembles

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Explore ensemble methods in machine learning, combining diverse models for improved accuracy. Learn bagging, boosting, and stacking techniques with real-world examples and practical insights.
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1 Lesons
17 minutes
On-Demand
Free-Video
PASS Data Community Summit

Data Analytics Explained for Business Leaders

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Demystifying data analytics for business leaders, bridging the gap between technical and strategic understanding to drive innovation, productivity, and informed decision-making.
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33 Lesons
50 minutes
On-Demand
Free-Video
Inside Livermore Lab

Adversarial Machine Learning: Categories, Concepts, and Current Landscape

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Explore adversarial machine learning vulnerabilities, including data subversion, evasion, and model revelation. Learn to identify potential threats and build robust defense strategies.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video