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Listen "Episode 38: Ho, Ho, Holiday Statistics Projects"
Episode Synopsis
In this episode, I marched through machine learning abstractions, brought home the BQN, discovered statistics projects to work on over Christmas, and found the Gosling that lays the golden egg,
References:
Quantifying uncertainty of machine learning methods for loss given default
Evaluating the performance of memory type logarithmic estimators using simple random sampling
A fast kernel independence test for cluster-correlated data
Autoencoders for sample size estimation for fully connected neural network classifiers
[R-pkgs] onetime 0.1.0: Run Code Only Once
🚧 WIP 🚧 From Julia to BQN
Using SAS to score a test
Using the cspade action to find frequent gene sequences
The easygoing relationship between computer scientists and null hypothesis significance testing
Top 11+ Coding Projects for Beginners (2023 Edition)
Gosling: Interactive Genomics Charts in R Shiny
Gosling Main Page
R-packages:
POMS: Phylogenetic Organization of Metagenomic Signals
macroBiome: A Tool for Mapping the Distribution of the Biomes and Bioclimate
reservr: Fit Distributions and Neural Networks to Censored and Truncated Data
NPCox: Nonparametric and Semiparametric Proportional Hazards Model
References:
Quantifying uncertainty of machine learning methods for loss given default
Evaluating the performance of memory type logarithmic estimators using simple random sampling
A fast kernel independence test for cluster-correlated data
Autoencoders for sample size estimation for fully connected neural network classifiers
[R-pkgs] onetime 0.1.0: Run Code Only Once
🚧 WIP 🚧 From Julia to BQN
Using SAS to score a test
Using the cspade action to find frequent gene sequences
The easygoing relationship between computer scientists and null hypothesis significance testing
Top 11+ Coding Projects for Beginners (2023 Edition)
Gosling: Interactive Genomics Charts in R Shiny
Gosling Main Page
R-packages:
POMS: Phylogenetic Organization of Metagenomic Signals
macroBiome: A Tool for Mapping the Distribution of the Biomes and Bioclimate
reservr: Fit Distributions and Neural Networks to Censored and Truncated Data
NPCox: Nonparametric and Semiparametric Proportional Hazards Model
In God we trust