User:Roc.alabern/Books/Wiki Book

Machine Learning, Operations Research and other related topics

 * Business
 * Business intelligence
 * Business analytics
 * Data warehouse
 * OLAP cube
 * Dashboard (business)
 * Dashboard (management information systems)


 * Artificial Intelligence
 * Artificial intelligence
 * Agent-based model
 * Reinforcement learning
 * Q-learning
 * SARSA
 * Kalman filter
 * Particle filter
 * Graphical model
 * Bayesian network
 * Markov random field
 * Conditional random field
 * Dynamic Bayesian network
 * Hidden Markov model
 * Hierarchical hidden Markov model
 * Partially observable Markov decision process
 * Temporal difference learning
 * Advanced planning and scheduling
 * Hierarchical task network


 * Machine Learning
 * Machine learning
 * Data mining
 * Pattern recognition
 * Generative model
 * Discriminative model
 * Unsupervised learning
 * Cluster analysis
 * Clustering high-dimensional data
 * Constrained clustering
 * K-means clustering
 * K-medians clustering
 * K-medoids
 * K-means++
 * K q-flats
 * Silhouette (clustering)
 * FLAME clustering
 * Fuzzy clustering
 * Data stream clustering
 * DBSCAN
 * Hierarchical clustering
 * Dendrogram
 * CURE data clustering algorithm
 * Nearest-neighbor chain algorithm
 * Nearest neighbor search
 * Determining the number of clusters in a data set
 * Supervised learning
 * Naive Bayes classifier
 * Artificial neural network
 * Backpropagation
 * Support vector machine
 * Decision tree
 * Random forest
 * Bootstrap aggregating
 * Boosting (machine learning)
 * Gradient boosting
 * AdaBoost
 * Semi-supervised learning


 * Regression Models
 * Linear regression
 * Logistic regression
 * General linear model
 * Generalized linear model
 * Regression model validation
 * Goodness of fit
 * Overfitting
 * Mean squared error
 * Coefficient of determination
 * Pearson product-moment correlation coefficient
 * Least squares
 * Total least squares
 * Maximal information coefficient
 * Regularization (mathematics)
 * Elastic net regularization
 * Tikhonov regularization
 * Basis pursuit denoising


 * Statistical Learning
 * Factor analysis
 * Linear discriminant analysis
 * Principal component analysis
 * Independent component analysis


 * Social Network Analysis
 * Social network analysis
 * Dynamic network analysis
 * Complex network
 * Graph theory
 * Minimum spanning tree
 * Clique (graph theory)
 * Clique problem
 * Degree (graph theory)
 * Centrality
 * Alpha centrality
 * Betweenness centrality
 * Graph partition
 * Cut (graph theory)
 * Structural cohesion
 * Community structure
 * Clustering coefficient
 * Modularity (networks)
 * Girvan–Newman algorithm
 * Hierarchical clustering of networks


 * Recommender Systems
 * Recommender system
 * Collaborative filtering
 * Online algorithm


 * Natural Language Processing
 * Natural language processing
 * Text mining
 * Information retrieval
 * Information extraction
 * String metric
 * Cosine similarity
 * Tf–idf
 * Machine translation
 * Automatic summarization
 * Text segmentation
 * Sentence boundary disambiguation
 * Named-entity recognition
 * Word-sense disambiguation
 * Relationship extraction
 * Coreference
 * Stemming
 * Part of speech
 * Part-of-speech tagging
 * Parse tree
 * Dependency grammar
 * Parsing
 * Stochastic context-free grammar
 * Topic model
 * Latent Dirichlet allocation
 * Hierarchical Dirichlet process
 * Sentiment analysis
 * N-gram


 * Dimension reduction
 * Dimensionality reduction
 * Anomaly detection
 * Local outlier factor
 * Nonlinear dimensionality reduction
 * Self-organizing map


 * Model Evaluation
 * Confusion matrix
 * Accuracy and precision
 * Sensitivity and specificity
 * F1 score
 * Receiver operating characteristic
 * Test set
 * Cross-validation (statistics)
 * A/B testing


 * Statistics
 * Estimator
 * Bias of an estimator
 * M-estimator
 * Likelihood function
 * Maximum likelihood
 * Expectation–maximization algorithm
 * Score (statistics)
 * Maximum-entropy Markov model
 * Information theory
 * Entropy (information theory)
 * Fisher information
 * Kullback–Leibler divergence
 * Cross entropy
 * Robust statistics
 * Parametric model
 * Non-parametric statistics
 * Nonparametric regression
 * Extreme value theory
 * Functional data analysis
 * Spatial analysis
 * Geostatistics


 * Finance
 * Mathematical finance
 * Present value
 * Net present value
 * Time value of money
 * Discounted cash flow
 * Forward price
 * Modern portfolio theory
 * Capital asset pricing model
 * Arbitrage pricing theory
 * Forward measure
 * Hedge (finance)
 * Risk-neutral measure
 * Value at risk
 * Brownian model of financial markets
 * Black–Scholes
 * Hull–White model


 * Forecasting
 * Forecasting
 * Econometrics
 * Stochastic process
 * Box–Jenkins
 * Vector autoregression
 * Autoregressive–moving-average model
 * Autoregressive integrated moving average
 * Autoregressive conditional heteroskedasticity
 * Exponential smoothing


 * Optimization
 * Mathematical optimization
 * Shortest path problem
 * A* search algorithm
 * Dynamic programming
 * Stochastic programming
 * Linear programming
 * Integer programming
 * Convex optimization
 * Karush–Kuhn–Tucker conditions
 * Augmented Lagrangian method
 * Duality (optimization)
 * Relaxation (approximation)
 * Constraint optimization
 * Barrier function
 * Penalty method
 * Genetic algorithm
 * Evolutionary algorithm
 * Simulated annealing
 * Tabu search
 * BFGS method
 * Limited-memory BFGS


 * Operations Research
 * Operations research
 * Discrete event simulation
 * Monte Carlo method
 * Monte Carlo methods in finance
 * Monte Carlo integration
 * VEGAS algorithm
 * Cross-entropy method
 * Sensitivity analysis
 * Markov chain Monte Carlo
 * Routing
 * Assignment problem
 * Set packing
 * Covering problem
 * Transshipment problem
 * Bin packing problem
 * Cutting stock problem
 * Knapsack problem
 * Nurse scheduling problem
 * Flow network
 * Critical path method
 * Program Evaluation and Review Technique
 * Decision analysis
 * Optimal decision
 * Multi-criteria decision analysis
 * Markov process
 * Markov chain
 * Markov decision process
 * Queueing theory
 * Markovian arrival processes
 * Game theory


 * Big Data
 * Big data
 * BigTable
 * MapReduce
 * Massively parallel (computing)
 * Heterogeneous computing
 * GPGPU
 * Amazon Elastic Compute Cloud
 * Apache Hadoop
 * Apache Mahout
 * Open data


 * Software
 * R (programming language)
 * RStudio
 * Weka
 * RapidMiner
 * Mathematica
 * MATLAB
 * GNU Octave
 * Social network analysis software
 * Gephi
 * YEd