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freeCodeCamp/guide/english/machine-learning
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Yogesh Nimangre 08946f0d3f added course (#24077)
* added course

* corrected link title
2018-12-22 14:00:02 -05:00
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backpropagation
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bayes-classifier
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brownian-motion
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clustering-algorithms
Add link to show k-means (#25732)
2018-12-21 21:20:49 -05:00
dataset-splitting
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deep-learning
Added Transfer learning (#29462)
2018-12-21 08:09:42 -08:00
dimension-reduction
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expectation-maximization-algorithm
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feature-engineering
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gaussian-process
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glossary
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latent-dirichlet-allocation
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linear-regression
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logistic-regression
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monte-carlo
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natural-language-processing
Add "*Text summarization" and "*Pattern..." (#24647)
2018-12-13 21:16:02 -05:00
neural-networks
Added resource for Machine Learning (#24888)
2018-12-15 05:20:54 -05:00
one-shot-learning
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principal-component-analysis
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principles
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random-forest
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reinforcement-learning
Update index.md (#23882)
2018-12-01 21:59:39 -05:00
stochastic-process
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supervised-learning
Add "Example 3" (#24658)
2018-12-13 21:12:38 -05:00
support-vector-machine
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tensorflow-for-machine-learning
added course (#24077)
2018-12-22 14:00:02 -05:00
unsupervised-learning
Article for unsupervised learning (#26057)
2018-12-21 05:20:14 -05:00
yolo-for-object-detection
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index.md
Added info of crash course (#24048)
2018-12-07 22:49:20 -05:00
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