Practitioner's Guide to Data Science
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portes grátis
Practitioner's Guide to Data Science
Li, Ming; Lin, Hui
Taylor & Francis Inc
05/2023
378
Mole
Inglês
9780815354390
15 a 20 dias
Descrição não disponível.
1. Introduction 2. Soft Skills for Data Scientists 3. Introduction to The Data 4. Big Data Cloud Platform 5. Data Pre-processing 6. Data Wrangling 7. Model Tuning Strategy 8. Measuring Performance 9. Regression Models 10. Regularization Methods 11. Tree-Based Methods 12. Deep Learning Appendix A. Handling Large Local Data Appendix B. R code for data simulation
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big data analytics;cloud computing applications;R programming techniques;regression analysis methods;tree-based algorithms;deep learning models;real-world data science scenarios
1. Introduction 2. Soft Skills for Data Scientists 3. Introduction to The Data 4. Big Data Cloud Platform 5. Data Pre-processing 6. Data Wrangling 7. Model Tuning Strategy 8. Measuring Performance 9. Regression Models 10. Regularization Methods 11. Tree-Based Methods 12. Deep Learning Appendix A. Handling Large Local Data Appendix B. R code for data simulation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
