9798262008308 - learn spark ml: create, implement, and master scalable machine learning pipelines di rodrigues, diego (3 risultati)
Lingua: Inglese
Editore: Amazon Digital Services LLC - Kdp, 2025
Serie: AI & Machine Learning ENG, Libro 15 di 15. Libro 15 di 15 - AI & Machine Learning ENG
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 17,55
EUR 4,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: AI & Machine Learning ENG, Libro 15 di 15. Libro 15 di 15 - AI & Machine Learning ENG
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 20,36
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. LEARN SPARK ML: Create, Implement, and Master Scalable Machine Learning PipelinesAimed at students, professionals, and data enthusiasts who want to learn, implement, and automate machine learning pipelines using Spark ML in real-world environments. This book teaches everything from data ing…estion to model deployment in production, with hands-on integration of leading market services, including AWS, Azure, Google Cloud, Databricks, Hadoop, Kubernetes, Apache Airflow, S3, BigQuery, Redshift, and Delta Lake.The content covers: - Integration of Spark ML with cloud environments and data platforms- Construction and automation of pipelines with Spark MLlib and Airflow- Implementation of supervised and unsupervised models- Deployment, monitoring, and management of models in cloud and hybrid environments- Workflow optimization with Delta Lake, BigQuery, and Redshift- Tuning techniques, cross-validation, and MLOps fundamentals- Performance analysis and scalability of machine learning solutionsAll examples and routines serve as a starting point, allowing adaptation to different academic and professional contexts. The goal is to deliver technical onboarding, practical autonomy, and mastery of the most widely used integrations in the market.spark ml, aws, azure, google cloud, databricks, hadoop, airflow, s3, bigquery, redshift, delta lake, pipelines, mlops, deploy, automation, predictive models This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2025
Serie: AI & Machine Learning ENG, Libro 15 di 15. Libro 15 di 15 - AI & Machine Learning ENG
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 21,07
EUR 43,30 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. LEARN SPARK ML: Create, Implement, and Master Scalable Machine Learning PipelinesAimed at students, professionals, and data enthusiasts who want to learn, implement, and automate machine learning pipelines using Spark ML in real-world environments. This book teaches everything from data ing…estion to model deployment in production, with hands-on integration of leading market services, including AWS, Azure, Google Cloud, Databricks, Hadoop, Kubernetes, Apache Airflow, S3, BigQuery, Redshift, and Delta Lake.The content covers: - Integration of Spark ML with cloud environments and data platforms- Construction and automation of pipelines with Spark MLlib and Airflow- Implementation of supervised and unsupervised models- Deployment, monitoring, and management of models in cloud and hybrid environments- Workflow optimization with Delta Lake, BigQuery, and Redshift- Tuning techniques, cross-validation, and MLOps fundamentals- Performance analysis and scalability of machine learning solutionsAll examples and routines serve as a starting point, allowing adaptation to different academic and professional contexts. The goal is to deliver technical onboarding, practical autonomy, and mastery of the most widely used integrations in the market.spark ml, aws, azure, google cloud, databricks, hadoop, airflow, s3, bigquery, redshift, delta lake, pipelines, mlops, deploy, automation, predictive models This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
