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#Class Imbalances

Showing: 10 courses
Cloud Security Alliance

Machine Learning for Threat Classification: Addressing Class Imbalance and Explainability

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Explore techniques for class imbalance, explainability, and best practices in machine learning for threat classification modeling.
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1 Lesons
17 minutes
On-Demand
Free-Video

Machine Learning

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Explore machine learning models through hands-on tutorials in Python and Julia, covering clustering, regression, neural networks, and more. Practical examples with code provided.
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9 Lesons
3 hours 30 minutes
On-Demand
Free-Video
Data Con LA

Predicting Rare Events Using Ordinal Regression - From Purchases to Diseases

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Dive into advanced ordinal regression techniques for predicting rare events like purchases and diseases, with practical examples and implementation guidance.
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16 Lesons
41 minutes
On-Demand
Free-Video
HuggingFace

Simple Training with the Transformers Trainer

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Learn to train and fine-tune Transformer models using the Trainer API, covering tokenization, class balance, and practical implementation techniques.
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6 Lesons
27 minutes
On-Demand
Free-Video
Julia Silge

Class Imbalance and Classification Metrics With Aircraft Wildlife Strikes

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Explore how handling class imbalance affects classification metrics using aircraft wildlife strike data, with focus on sensitivity and specificity in predictive modeling.
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19 Lesons
34 minutes
On-Demand
Free-Video
Alexander Amini

Trustworthy Deep Learning

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Explore robust and trustworthy deep learning, covering algorithmic bias, uncertainty estimation, and innovative approaches to create risk-aware AI systems for more reliable and ethical machine learning applications.
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18 Lesons
54 minutes
On-Demand
Free-Video
Julia Silge

Build a Predictive Text Model for Avatar: The Last Airbender with Tidymodels

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Predict Avatar: The Last Airbender speakers using text features and tidymodels in R. Learn model-agnostic variable importance and handle class imbalance in this data analysis tutorial.
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16 Lesons
1 hour 2 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
TheIACR

The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluation

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Explore machine learning challenges in side-channel analysis, focusing on class imbalance and conflicting metrics. Learn strategies to address these issues in cryptographic hardware evaluation.
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16 Lesons
21 minutes
On-Demand
Free-Video
Alexander Amini

AI Bias and Fairness

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Comprehensive exploration of AI bias and fairness, covering types, sources, and mitigation strategies. Examines interpretation-driven and data-driven biases, feature bias, and advanced debiasing techniques for ethical AI development.
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14 Lesons
43 minutes
On-Demand
Free-Video