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The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

book.mlcompendium.com
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.gitbook/assets
.gitbook/assets
 
 
additional-ds-skills
additional-ds-skills
 
 
business-domains
business-domains
 
 
deep-learning
deep-learning
 
 
graphs
graphs
 
 
README.md
README.md
 
 
SUMMARY.md
SUMMARY.md
 
 
active-learning-algorithms.md
active-learning-algorithms.md
 
 
algorithms-101.md
algorithms-101.md
 
 
anomaly-detection.md
anomaly-detection.md
 
 
calculus.md
calculus.md
 
 
calibration.md
calibration.md
 
 
classic-machine-learning.md
classic-machine-learning.md
 
 
clustering-algorithms.md
clustering-algorithms.md
 
 
data-science-management.md
data-science-management.md
 
 
data-science-tools.md
data-science-tools.md
 
 
data-science.md
data-science.md
 
 
dataset-confidence.md
dataset-confidence.md
 
 
datasets.md
datasets.md
 
 
decision-trees.md
decision-trees.md
 
 
digital-signal-processing-dsp.md
digital-signal-processing-dsp.md
 
 
dimensionality-reduction-methods.md
dimensionality-reduction-methods.md
 
 
distribution-transformation.md
distribution-transformation.md
 
 
distribution.md
distribution.md
 
 
ensembles-1.md
ensembles-1.md
 
 
ensembles.md
ensembles.md
 
 
evaluation-metrics.md
evaluation-metrics.md
 
 
examples.md
examples.md
 
 
feature-types.md
feature-types.md
 
 
features.md
features.md
 
 
fourier-transform.md
fourier-transform.md
 
 
game-theory.md
game-theory.md
 
 
genetic-algorithms-and-genetic-programming.md
genetic-algorithms-and-genetic-programming.md
 
 
humor.md
humor.md
 
 
hyper-parameter-optimization.md
hyper-parameter-optimization.md
 
 
incremental-learning-1.md
incremental-learning-1.md
 
 
incremental-learning.md
incremental-learning.md
 
 
information-theory.md
information-theory.md
 
 
label-algorithms.md
label-algorithms.md
 
 
learning-classifier-systems.md
learning-classifier-systems.md
 
 
linear-separator-algorithms.md
linear-separator-algorithms.md
 
 
management.md
management.md
 
 
meta-learning.md
meta-learning.md
 
 
mlops-monitoring-and-alerts.md
mlops-monitoring-and-alerts.md
 
 
multi-cpu-processing.md
multi-cpu-processing.md
 
 
multi-label-classification.md
multi-label-classification.md
 
 
natural-language-processing.md
natural-language-processing.md
 
 
normalization-and-scaling.md
normalization-and-scaling.md
 
 
probability-and-statistics.md
probability-and-statistics.md
 
 
probability.md
probability.md
 
 
recommender-systems.md
recommender-systems.md
 
 
regularization.md
regularization.md
 
 
timeseries.md
timeseries.md
 
 
training-strategies.md
training-strategies.md
 
 
types-of-machine-learning.md
types-of-machine-learning.md
 
 
validation.md
validation.md
 
 

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The compendium is a list of resources compiled through time for my personal education, I decided to open it to the public so that other people can learn as well.

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The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

book.mlcompendium.com

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