Data Analytics, Computational Statistics, and Operations Research for Engineers
portes grátis
Data Analytics, Computational Statistics, and Operations Research for Engineers
Methodologies and Applications
Chilamkurti, Naveen; Hammoudeh, Mohammad; Islam, SK Hafizul; Samanta, Debabrata
Taylor & Francis Ltd
03/2022
274
Dura
Inglês
9780367715113
15 a 20 dias
666
Descrição não disponível.
Part 1: Statistical Computing. 1. Computational Arithmetic for Statistical Computation. 2. Numerical Algorithm and Software for Statistical Computation. 3. Impact of Modern Computer on Statistical Computing. 4. Numerical Methods as the Backbone of Simulation Techniques. 5. Linear Algebra and Optimization for Computation. 6. Role of Transformation Functions in Restructuring the Problem Statements. 7. Optimization of Computing Resources. 8. Role of Statistical Graphics in Data Analysis. Part 2: Statistical Methodology. 9. Computationally Intensive Statistical Methods. 10. Techniques in Computational Inferencing. 11. Computer Models for Design of Experiments. 12. Bayesian Analysis for Computational Inference. 13. Survival Analysis Models in Computational Methods. 14. Impact of Data Mining to the Computational Statistics for Machine Learning. Part 3: Computational Statistics Applications. 15. Computational Statistics in Finance and Economics. 16. Computationally Intensive Statistical Methods in Human Biology. 17. Computational Statistics within Clinical Research. 18. Computational Statistics for Network Security.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computer Algorithm;Numerical Algorithm;Machine Learning;Data Mining;Bayesian Analysis;Survival Analysis;MERS CoV;MERS;LS SVM Model;PLS.;Blockchain Technology;Smart Contracts;IoT Device;Hyper-spectral Imaging;Big Data;Ml Algorithm;HSI;IoT System;IoT Security;E-voting System;Precision Agriculture;PLSR Model;Basic Ml;IoT Gadget;Narrow Band Vegetation Indexes;Random Forest;Spear Phishing Attacks;Supply Chain Management Area;Ann Model;Gradient Boosting;Ipo Firm
Part 1: Statistical Computing. 1. Computational Arithmetic for Statistical Computation. 2. Numerical Algorithm and Software for Statistical Computation. 3. Impact of Modern Computer on Statistical Computing. 4. Numerical Methods as the Backbone of Simulation Techniques. 5. Linear Algebra and Optimization for Computation. 6. Role of Transformation Functions in Restructuring the Problem Statements. 7. Optimization of Computing Resources. 8. Role of Statistical Graphics in Data Analysis. Part 2: Statistical Methodology. 9. Computationally Intensive Statistical Methods. 10. Techniques in Computational Inferencing. 11. Computer Models for Design of Experiments. 12. Bayesian Analysis for Computational Inference. 13. Survival Analysis Models in Computational Methods. 14. Impact of Data Mining to the Computational Statistics for Machine Learning. Part 3: Computational Statistics Applications. 15. Computational Statistics in Finance and Economics. 16. Computationally Intensive Statistical Methods in Human Biology. 17. Computational Statistics within Clinical Research. 18. Computational Statistics for Network Security.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computer Algorithm;Numerical Algorithm;Machine Learning;Data Mining;Bayesian Analysis;Survival Analysis;MERS CoV;MERS;LS SVM Model;PLS.;Blockchain Technology;Smart Contracts;IoT Device;Hyper-spectral Imaging;Big Data;Ml Algorithm;HSI;IoT System;IoT Security;E-voting System;Precision Agriculture;PLSR Model;Basic Ml;IoT Gadget;Narrow Band Vegetation Indexes;Random Forest;Spear Phishing Attacks;Supply Chain Management Area;Ann Model;Gradient Boosting;Ipo Firm
