Thinking Data Science

portes grátis

título Thinking Data Science

subtítulo A Data Science Practitioner's Guide

autor Sarang, Poornachandra

editor Springer International Publishing AG

data de edição 03/2024

número de páginas 358

capa Mole

idioma Inglês

ISBN13 9783031023651

prazo de entrega 15 a 20 dias

Descrição não disponível.

Chapter. 1. Data Science Process.- Chapter. 2. Dimensionality Reduction - Creating Manageable Training Datasets.- Chapter. 3. Classical Algorithms - Over-view.- Chapter. 4. Regression Analysis.- Chapter. 5. Decision Tree.- Chapter. 6. Ensemble - Bagging and Boosting.- Chapter. 7. K-Nearest Neighbors.- Chapter. 8. Naive Bayes.- Chapter. 9. Support Vector Machines: A supervised learning algorithm for Classification and Regression.- Chapter. 10. Clustering Overview.- Chapter. 11. Centroid-based Clustering.- Chapter. 12. Connectivity-based Clustering.- Chapter. 13. Gaussian Mixture Model.- Chapter. 14. Density-based.- Chapter. 15.- BIRCH.- Chapter. 16. CLARANS.- Chapter. 17. Affinity Propagation Clustering.- Chapter. 18. STING.- Chapter. 19. CLIQUE.- Chapter. 20. Artificial Neural Networks.- Chapter. 21. ANN-based Applications.- Chapter. 22. Automated Tools.- Chapter. 23. DataScientist's Ultimate Workflow.

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

ANN;DNN;Machine Learning algorithms;Machine Learning mode selection;Naive Bayes;SVM