freeCodeCamp/guide/english/machine-learning
Anika Tabassum 9703b32eff Update index.md (#20000)
Mention posterior probability for Bayes classifier
2018-10-27 08:21:13 -05:00
..
backpropagation
bayes-classifier Update index.md (#20000) 2018-10-27 08:21:13 -05:00
brownian-motion
clustering-algorithms
dataset-splitting
deep-learning
dimension-reduction
expectation-maximization-algorithm
feature-engineering
gaussian-process
glossary
latent-dirichlet-allocation
linear-regression
logistic-regression
monte-carlo
natural-language-processing
neural-networks Why Convolutional Neural Network (#25662) 2018-10-25 10:25:17 -04:00
one-shot-learning
principal-component-analysis
principles
random-forest
reinforcement-learning
stochastic-process
supervised-learning
support-vector-machine
tensorflow-for-machine-learning
unsupervised-learning
yolo-for-object-detection
index.md Update index.md (#23500) 2018-10-20 10:24:02 -07:00