9798281647175 - learn xgboost: build high-performance models for accurate predictions (ai & machine learning eng) de rodrigues, diego; smart tech content, studiod21 (12 resultados)
Idioma: Inglés
Editorial: Independently Published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Paperback. Condición: New.
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Editorial: Independently published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 14,65
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Editorial: Independently published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 16,68
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Editorial: Independently published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 17,58
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Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Independently Published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 16,96
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Paperback. Condición: new. Paperback. Mastering XGBoost is an essential skill for professionals working in data science, machine learning, and predictive model engineering in critical environments. Widely used in technical competitions, business solutions, and large-scale production systems, XGBoost is a leading reference for pe…rformance, stability, and control in supervised learning pipelines. This book offers a direct, applied, and technically precise approach to all core aspects of the library, focusing on real-world applications and professional validation.Developed in accordance with the TECHWRITE 2.3 Protocol, the content is ideal for data scientists, machine learning engineers, technical analysts, and students seeking to master XGBoost with an operational focus and full system integration. Its modular structure allows for a progression from conceptual understanding to technical deployment, with explained code, recommended practices, and structured error resolution.You will learn how to build robust models for classification, regression, and multiclass problems, with advanced evaluation, automated tuning, and integration into production environments.Includes: Structured data pipelines using Pandas and NumPySupervised modeling with XGBClassifier and XGBRegressorTuning with GridSearchCV, RandomizedSearchCV, and cross-validationExplainability using SHAP Values, importance_gain, and visualizationsTime series forecasting with sliding windowsDeployment via Flask, FastAPI, Streamlit, and DockerGPU (CUDA) execution and Dask clustersIntegration with AWS SageMaker and enterprise modelingCase studies using public datasets and a final professional checklistMaster XGBoost and position yourself with technical authority in projects that demand accurate predictions, reliable validation, and end-to-end delivery aligned with systems and strategic objectives. This book is your professional reference manual for the most powerful algorithm in modern supervised modeling.xgboost, supervised machine learning, classification and regression, hyperparameter tuning, deployment with Flask and FastAPI, SHAP Values, time series, Dask, GPU, SageMaker, enterprise projects, explainability, predictive modeling, production pipelines This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Independently published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 17,22
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Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 18,21
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Editorial: Independently Published Apr 2025 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 25,49
Envío por EUR 61,16Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Mastering XGBoost is an essential skill for professionals working in data science, machine learning, and predictive model engineering in critical environments. Widely used in technical competitions, business solutions, and large-scale production systems, XGBoost is a leading reference for p…erformance, stability, and control in supervised learning pipelines. This book offers a direct, applied, and technically precise approach to all core aspects of the library, focusing on real-world applications and professional validation.Developed in accordance with the TECHWRITE 2.3 Protocol, the content is ideal for data scientists, machine learning engineers, technical analysts, and students seeking to master XGBoost with an operational focus and full system integration. Its modular structure allows for a progression from conceptual understanding to technical deployment, with explained code, recommended practices, and structured error resolution.You will learn how to build robust models for classification, regression, and multiclass problems, with advanced evaluation, automated tuning, and integration into production environments.Includes: Structured data pipelines using Pandas and NumPySupervised modeling with XGBClassifier and XGBRegressorTuning with GridSearchCV, RandomizedSearchCV, and cross-validationExplainability using SHAP Values, importance_gain, and visualizationsTime series forecasting with sliding windowsDeployment via Flask, FastAPI, Streamlit, and DockerGPU (CUDA) execution and Dask clustersIntegration with AWS SageMaker and enterprise modelingCase studies using public datasets and a final professional checklistMaster XGBoost and position yourself with technical authority in projects that demand accurate predictions, reliable validation, and end-to-end delivery aligned with systems and strategic objectives. This book is your professional reference manual for the most powerful algorithm in modern supervised modeling.xgboost, supervised machine learning, classification and regression, hyperparameter tuning, deployment with Flask and FastAPI, SHAP Values, time series, Dask, GPU, SageMaker, enterprise projects, explainability, predictive modeling, production pipelines.
Idioma: Inglés
Editorial: Independently published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 16,76
Envío por EUR 3,82Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Editorial: Independently Published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
- Tapa blanda
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 16,67
Envío por EUR 75,45Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New.
Idioma: Inglés
Editorial: Independently Published 2025
Serie: AI & Machine Learning ENG, Libro 11 de 15. Libro 11 de 15 - AI & Machine Learning ENG
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 20,31
Envío por EUR 42,95Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Mastering XGBoost is an essential skill for professionals working in data science, machine learning, and predictive model engineering in critical environments. Widely used in technical competitions, business solutions, and large-scale production systems, XGBoost is a leading reference for pe…rformance, stability, and control in supervised learning pipelines. This book offers a direct, applied, and technically precise approach to all core aspects of the library, focusing on real-world applications and professional validation.Developed in accordance with the TECHWRITE 2.3 Protocol, the content is ideal for data scientists, machine learning engineers, technical analysts, and students seeking to master XGBoost with an operational focus and full system integration. Its modular structure allows for a progression from conceptual understanding to technical deployment, with explained code, recommended practices, and structured error resolution.You will learn how to build robust models for classification, regression, and multiclass problems, with advanced evaluation, automated tuning, and integration into production environments.Includes: Structured data pipelines using Pandas and NumPySupervised modeling with XGBClassifier and XGBRegressorTuning with GridSearchCV, RandomizedSearchCV, and cross-validationExplainability using SHAP Values, importance_gain, and visualizationsTime series forecasting with sliding windowsDeployment via Flask, FastAPI, Streamlit, and DockerGPU (CUDA) execution and Dask clustersIntegration with AWS SageMaker and enterprise modelingCase studies using public datasets and a final professional checklistMaster XGBoost and position yourself with technical authority in projects that demand accurate predictions, reliable validation, and end-to-end delivery aligned with systems and strategic objectives. This book is your professional reference manual for the most powerful algorithm in modern supervised modeling.xgboost, supervised machine learning, classification and regression, hyperparameter tuning, deployment with Flask and FastAPI, SHAP Values, time series, Dask, GPU, SageMaker, enterprise projects, explainability, predictive modeling, production pipelines This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
