Patterns, Predictions, and Actions
portes grátis
Patterns, Predictions, and Actions
Foundations of Machine Learning
Recht, Benjamin; Hardt, Moritz
Princeton University Press
10/2022
320
Dura
Inglês
9780691233734
15 a 20 dias
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Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Prediction; Machine learning; Data set; Decision-making; Causal model; Measurement; Perceptron; Test set; Dynamical system; Reinforcement learning; Loss function; Instruction set; Model predictive control; Predictive modelling; Artificial neural network; Planning horizon; Deep learning; Explanatory power; Gradient method; Test data; Estimator; Result; Dynamic programming; Empirical risk minimization; Treatment and control groups; Causal inference; Evaluation; Iterative method; Instrumental variable; Explanation; Estimation; Pattern recognition; Function approximation; System identification; Activation function; Heuristic; Special case; Causal graph; Structural equation modeling; Existential quantification; Confidence interval; Meta-analysis; Random variable; Funding; Observation; Optimization problem; Processing (programming language); Sensitivity and specificity; Jacobian matrix and determinant; Sensor; Probability; Decision boundary; Program Manager; Dimensional analysis; Combination; Function composition; Policy; Admissible set; Supply chain; Selection rule; Causal reasoning; Interaction; Risk assessment; Instance (computer science); Summation; Sorting; Affine transformation; Learning; Establishment Clause; Exposition (narrative)
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Prediction; Machine learning; Data set; Decision-making; Causal model; Measurement; Perceptron; Test set; Dynamical system; Reinforcement learning; Loss function; Instruction set; Model predictive control; Predictive modelling; Artificial neural network; Planning horizon; Deep learning; Explanatory power; Gradient method; Test data; Estimator; Result; Dynamic programming; Empirical risk minimization; Treatment and control groups; Causal inference; Evaluation; Iterative method; Instrumental variable; Explanation; Estimation; Pattern recognition; Function approximation; System identification; Activation function; Heuristic; Special case; Causal graph; Structural equation modeling; Existential quantification; Confidence interval; Meta-analysis; Random variable; Funding; Observation; Optimization problem; Processing (programming language); Sensitivity and specificity; Jacobian matrix and determinant; Sensor; Probability; Decision boundary; Program Manager; Dimensional analysis; Combination; Function composition; Policy; Admissible set; Supply chain; Selection rule; Causal reasoning; Interaction; Risk assessment; Instance (computer science); Summation; Sorting; Affine transformation; Learning; Establishment Clause; Exposition (narrative)
