User:Mgsykora/Books/Predictive Algorithms IoT
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Predictive Algorithms IoT
[edit]- Association
- Apriori algorithm
- Association rule learning
- Contrast set learning
- K-optimal pattern discovery
- Classification
- Behavior tree (artificial intelligence, robotics and control)
- Decision cycle
- Decision list
- Decision tree
- Decision tree model
- Decision tree learning
- Decision table
- Semantic decision table
- Gradient boosting
- K-nearest neighbors algorithm
- Logistic regression
- Artificial neural network
- Naive Bayes classifier
- Random forest
- Support vector machine
- Confusion matrix
- Receiver operating characteristic
- Regression
- Forecasting
- Generalized linear model
- Kriging
- Least-angle regression
- Multinomial logistic regression
- Multinomial probit
- Regression validation
- Stepwise regression
- Clusters
- ABC analysis
- Cluster analysis
- DBSCAN
- K-means clustering
- K-medoids
- K-medians clustering
- Self-organizing map
- Hierarchical clustering
- Affinity propagation
- Latent Dirichlet allocation
- Mixture model
- Time Series
- Time series
- Optimism bias
- Cross-correlation
- Errors and residuals
- Dynamic Bayesian network
- Dynamic time warping
- Detrended fluctuation analysis
- Hidden Markov model
- Kalman filter
- Exponential smoothing
- Autoregressive integrated moving average
- Autoregressive–moving-average model
- Demand forecasting
- Linear regression
- Probability Distribution
- Probability distribution
- Probability distribution fitting
- Weibull distribution
- Cumulative distribution function
- Kaplan–Meier estimator
- Quantile function
- Outlier Detection
- Outlier
- Tukey's range test
- Interquartile range
- Analysis of variance
- Anomaly detection
- Chauvenet's criterion
- Grubbs' test for outliers
- Dixon's Q test
- Mahalanobis distance
- Link Prediction
- Network science
- Multidimensional network
- Jaccard index
- Katz centrality
- Sørensen–Dice coefficient
- Tversky index
- Data Preperation
- Sampling (statistics)
- Pseudo-random number sampling
- Data binning
- Partition (database)
- Principal component analysis
- Box–Muller transform
- Descriptive Statisics
- Descriptive statistics
- Mean
- Median
- Mode (statistics)
- Standard deviation
- Kurtosis
- Skewness
- Central limit theorem
- MultiVariate Statistics
- Multivariate statistics
- Covariance matrix
- Pearson correlation coefficient
- Chi-squared test
- Goodness of fit
- Likelihood-ratio test
- F-test
- Other
- Decision matrix
- Missing data