e-Learning
Scientific topics: Bayesian methods
and Contributors: Saskia Hiltemann
and Resource type: e-learning
26 e-learning materials found
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e-learning
Gleam Multimodal Learner - Head and Neck cancer Recurrence Prediction with HANCOCK
•• IntermediateStatistics and probability GLEAM HANCOCK Dataset Multimodal Learning Recurrence Prediction Statistics and machine learning -
e-learning
GLEAM Image Learner - Validating Skin Lesion Classification on HAM10000
•• IntermediateStatistics and probability Deep Learning HAM10000 Dataset Image Classification Image Learner Skin Lesion Classification Statistics and machine learning -
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Galaxy Tabular Learner - Building a Model using Chowell clinical data
•• IntermediateStatistics and probability LORIS Score Model Machine Learning Statistics and machine learning Tabular Learner -
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Modeling Breast Cancer Subtypes with Flexynesis
• BeginnerStatistics and probability Statistics and machine learning -
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Deep Learning (without Generative Artificial Intelligence) using Python
•• IntermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress -
e-learning
Foundational Aspects of Machine Learning using Python
•• IntermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook -
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Neural networks using Python
•• IntermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress -
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Regulations/standards for AI using DOME
•• IntermediateStatistics and probability Statistics and machine learning ai-ml elixir -
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Text-Mining Differences in Chinese Newspaper Articles
•• IntermediateStatistics and probability Digital Humanities text mining -
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Fine tune large protein model (ProtTrans) using HuggingFace
• BeginnerStatistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning