Deep learning with Python : learn best practices of deep learning models with PyTorch / by Ketkar, Nikhil, Moolayil, Jojo

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Advanced dynamic-system simulation : model -replication and Monte Carlo Studies / by Korn, Granino A. (Granino Arthur), 1922-2013

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Genetic programming theory and practice VI

Table of Contents: “…Programming toMinimizeOverfitting in StockSelection -- Co-Evolving Trading …”
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Deep Learning with PyTorch / by Antiga, Luca, Viehmann, Thomas, Stevens, Eli

Table of Contents: “…Recognizing the symptoms of overfitting -- 12.5 Revisiting the problem of overfitting …”
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Deep Learning with PyTorch / by Antiga, Luca, Viehmann, Thomas, Stevens, Eli

Table of Contents: “…Recognizing the symptoms of overfitting -- 12.5 Revisiting the problem of overfitting …”
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Statistical and machine-learning data mining : techniques for better predictive modeling and analysis of big data / by Ratner, Bruce

Table of Contents: “…discarding them -- Overfitting : old problem, new solution -- The importance …”
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Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19 a study protocol.

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Python machine learning case studies : five case studies for the data scientist / by Haroon, Danish

Table of Contents: “…""Correlation""; ""Overfitting and Underfitting""; ""Regression Metrics …”
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Deep learning with Python : learn best practices of deep learning models with PyTorch / by Ketkar, Nikhil, Moolayil, Jojo

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Applied supervised learning with R : use machine learning libraries of R to build models that solve business problems and predict future trends / by Ramasubramanian, Karthik, Moolayil, Jojo

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Evaluating Classification and Regression Systems (Machine Learning with Python for Everyone Series), Part 2 / by Fenner, Mark

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Mathematical and statistical methods in food science and technology /

Table of Contents: “…Accuracy and Validation; Overfitting and Underfitting; Routine Analyses and Applications; …”
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Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications

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An adaptive Hessian approximated stochastic gradient MCMC method

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IoT Product Design and Development Best Practices for Industrial, Consumer, and Business Applications. by Fattahi, Ahmad

Table of Contents: “…Learning Model Is Built -- Overfitting -- Data Set, Explainability, and Supervised …”
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DPM A deep learning PDE augmentation method with application to large-eddy simulation.

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Visual Data Mining The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Neural Networks -- Overfitting the Model -- Moving Beyond Local Optima …”
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Deep Learning Modeling and Feature Evaluation for Solar Flare Prediction / by Baskar, Srinivas

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Deep learning : crash course 2023.

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Sequential classification using deep learning / by Chen, Gang

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