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ML (Core Concepts, Training & Optimization, Data & Preprocessing,…
ML
Core Concepts
predictive model
prediction
target
outcome
features
predictor
instance
weight
intercept
bias
variance
Standard deviation
ordinal
nominal
logit
margin
decision region
Training & Optimization
gradient descent
SGD
mini banch gradient descent
BackProp
learning rate
epochs
regularization parameter
grid search
randomized search
underfitting
overfitting
learning curve
validation curve
tanh
релу, ReLU
softmax
Data & Preprocessing
data cleaning
mean imputation
feature engineering
feature scaling
normalization
standartization
feature selection
feature extraction
demensionality
dimensionality reduction
PSA
loading
LDA
Evaluation & Metrics
accuracy
recall
F-score,F-measure
RMSE
prediction error, ERR
confusion matrix
Gini impurity
cross-validation
holdout cross-validation
k-fold cross-validation
nested cross-validation
Algorithms
logistic regression
SVM
k-nearest neighbor, kNN
random forest
bagging, bootstrap aggregating
boosting
adaptive boosting
kernel method
clustering
Types of Machine Learning
supervised learning
unsupervised learning
reinforcement learning
ensemble method