Machine Learning
Algorithms and methods that enable systems to learn from data.
391 terms
391 terms · A–Z
A
B
C
- candidate generation
- categorical data
- centroid
- centroid-based clustering
- Character N-gram F-score
- citation precision
- citation recall
- class
- class-balanced dataset
- class-imbalanced dataset
- Classification
- classification model
- classification threshold
- classifier
- clipping
- Clustering
- co-adaptation
- co-training
- collaborative filtering
- compact model
- concept drift
- condition
- configuration
- confirmation bias
- confusion matrix
- continuous feature
- convenience sampling
- convergence
- convex set
- cost
- counterfactual fairness
- critic
- cross-entropy
- cross-validation
- cumulative distribution function
D
- data analysis
- Data Augmentation
- data parallelism
- data set or dataset
- decision boundary
- decision forest
- decision threshold
- decision tree
- deep model
- demographic parity
- denoising
- dense feature
- dense layer
- depth
- derived label
- discrete feature
- discriminative model
- disparate impact
- disparate treatment
- distribution
- divisive clustering
- downsampling
- dropout regularization
- dynamic
- dynamic model
E
F
- F1
- fairness metric
- false negative
- false negative rate
- false positive
- false positive rate
- fast decay
- feature
- feature cross
- feature engineering
- feature extraction
- feature importances
- feature set
- feature spec
- feature vector
- featurization
- feedback loop
- few-shot learning
- Fine-tuning
- forget gate
- foundation model
- fraction of successes
- full softmax
G
H
I
- i.i.d.
- image recognition
- imbalanced dataset
- implicit bias
- imputation
- in-set condition
- incompatibility of fairness metrics
- independently and identically distributed
- individual fairness
- Inference
- inference path
- information gain
- input layer
- instance
- inter-rater agreement
- interpretability
- items
- iteration
K
L
- L0 regularization
- L1 loss
- L1 regularization
- L2 loss
- L2 regularization
- label
- label leakage
- labeled example
- lambda
- landmarks
- language model
- layer
- leaf
- Learning Interpretability Tool
- learning rate
- least squares regression
- Levenshtein Distance
- linear
- linear model
- linear regression
- LLM evaluations
- Log Loss
- log-odds
- logistic regression
- logits
- LoRA
- loss
- loss aggregator
- loss curve
- loss function
M
- Machine Learning
- majority class
- MBPP
- Mean Absolute Error
- mean average precision at k
- Mean Squared Error
- metric
- mini-batch
- minimax loss
- minority class
- modality
- model
- model capacity
- model cascading
- model parallelism
- model router
- model training
- multi-class classification
- multi-class logistic regression
- multimodal instruction-tuned
- multimodal model
- multinomial classification
- multinomial regression
- multitask
N
O
P
- packed data
- parameter
- partitioning strategy
- pass at k
- performance
- permutation variable importances
- perplexity
- pipeline
- pipelining
- positive class
- post-processing
- PR AUC
- precision
- precision at k
- precision-recall curve
- prediction
- prediction bias
- predictive parity
- predictive rate parity
- prior belief
- probabilistic regression model
- probability density function
- provenance
- proxy
- proxy labels
Q
R
- R-squared
- random forest
- rank
- ranking
- rater
- re-ranking
- recall
- recall at k
- Rectified Linear Unit
- regression model
- regularization
- regularization rate
- ReLU
- representation
- retrieval-augmented generation
- ROC (receiver operating characteristic) Curve
- root
- Root Mean Squared Error
- rotational invariance
- ROUGE
- ROUGE-L
- ROUGE-N
- ROUGE-S
S
- sampling with replacement
- scalar
- scaling
- scoring
- self-supervised learning
- self-training
- semi-supervised learning
- sensitive attribute
- sentiment analysis
- sequence model
- sequence-to-sequence task
- serving
- shrinkage
- sigmoid function
- similarity measure
- single program / multiple data
- size invariance
- sketching
- softmax
- sparse feature
- sparse representation
- sparse vector
- sparsity
- spatial pooling
- split
- splitter
- squared hinge loss
- squared loss
- state-action value function
- static
- static inference
- stationarity
- step size
- stochastic gradient descent
- structural risk minimization
- subsampling
- Supervised Learning
- supervised machine learning
- synthetic feature
T
- target
- task
- temperature
- temporal data
- Tensor rank
- Tensor shape
- Tensor size
- test
- test loss
- test set
- text span
- threshold
- time series analysis
- top-k accuracy
- toxicity
- training
- training loss
- training set
- training-serving skew
- transfer learning
- translational invariance
- true negative
- true positive
- true positive rate
U
V
W
X
Z
No terms match your filter.