User:Roc.alabern/Books/Consultoria

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Consultoria

Machine Learning, Operations Research and other related topics

Introduction: Artificial intelligence; Machine learning; Pattern recognition; Data mining; Generative model; Discriminative model; Mathematical optimization; Operations research
Business: Business intelligence; Business analytics; Data warehouse; OLAP cube; Dashboard (business); Dashboard (management information systems); Exploratory data analysis; Return of capital; Performance indicator
Artificial Intelligence: Expert system; Reinforcement learning; Q-learning; SARSA; Kalman filter; Particle filter; Graphical model; Bayesian network; Markov random field; Conditional random field; Hidden Markov model; Hierarchical hidden Markov model; Partially observable Markov decision process; Temporal difference learning; Advanced planning and scheduling; Hierarchical task network
Machine Learning - Unsupervised Learning: Unsupervised learning; Cluster analysis; K-means clustering; K-medians clustering; K-medoids; K-means++; Silhouette (clustering); FLAME clustering; Fuzzy clustering; DBSCAN; Hierarchical clustering; Dendrogram; CURE data clustering algorithm; Nearest-neighbor chain algorithm; Determining the number of clusters in a data set
Machine Learning - Supervised Learning: Supervised learning; K-nearest neighbors algorithm; Naive Bayes classifier; Artificial neural network; Perceptron; Backpropagation; Support vector machine; Decision tree; Random forest; Bootstrap aggregating; Boosting (machine learning); Gradient boosting; AdaBoost
Machine Learning - Semisupervised Learning: Semi-supervised learning; Constrained clustering
Regression Models: Regression analysis; Simple linear regression; Ordinary least squares; Linear least squares (mathematics); Linear regression; Logistic regression; General linear model; Generalized linear model; Generalized least squares; Regression model validation; Goodness of fit; Overfitting; Mean squared error; Coefficient of determination; Fraction of variance unexplained; Pearson product-moment correlation coefficient; Least squares; Total least squares; Maximal information coefficient; Regularization (mathematics); Elastic net regularization; Tikhonov regularization; Nonlinear regression; Non-linear least squares; Robust regression; Local regression
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
Text Mining: Text mining; Information retrieval; Information extraction; Document-term matrix; String metric; Cosine similarity; Tf–idf
Natural Language Processing: Natural language processing; Text corpus; Ontology (information science); Thesaurus; Stop words; Stemming; N-gram; Part of speech; Part-of-speech tagging; Parse tree; Dependency grammar; Parsing; Stochastic context-free grammar; Topic model; Latent Dirichlet allocation; Hierarchical Dirichlet process; Sentence boundary disambiguation; Coreference; Relationship extraction; Sentiment analysis; Treebank
Dimension reduction and other techniques: Dimensionality reduction; Factor analysis; Linear discriminant analysis; Principal component analysis; Independent component analysis; 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
Probability and Statistics: Probability distribution; Poisson process; Estimator; Bias of an estimator; M-estimator; Prediction interval; Likelihood function; Maximum likelihood; Expectation–maximization algorithm; Score (statistics); Maximum-entropy Markov model; Information theory; Akaike information criterion; Bayesian information criterion; 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: Shortest path problem; A* search algorithm; Dynamic programming; Stochastic programming; Linear programming; Integer programming; Branch and bound; Branch and cut; Cutting-plane method; Nonlinear programming; Convex optimization; Quadratic programming; 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: 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; Quadratic assignment problem; Set packing; Bin packing problem; Covering problem; Cutting stock problem; Transshipment problem; Generalized assignment problem; Knapsack problem; Travelling salesman 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; Kendall's notation; M/M/1 queue; M/G/1 queue; Bulk queue; 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 (machine learning); RapidMiner; KNIME; Shogun (toolbox); SAS (software); Mathematica; MATLAB; GNU Octave; Mallet (software project); General Architecture for Text Engineering; Social network analysis software; Gephi; YEd; List of numerical libraries; List of statistical packages; List of numerical analysis software; Comparison of numerical analysis software; List of information graphics software