SKU/Artículo: AMZ-B0G6SST867
Modern MACHINE LEARNING With Spark: Building Powerful AI Systems Using Spark MLlib, XGBoost, LightGBM, and Beyond
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.78 kg
0.78 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Have you ever wondered how modern organizations train, scale, and deploy machine learning models on massive datasets? Are you struggling to move your models from local experiments to reliable, production-ready systems?Modern Machine Learning with Spark shows you how to build scalable AI solutions using Apache Spark, Spark MLlib, XGBoost, LightGBM, and modern MLOps practices. This book is designed to help you understand not just how distributed machine learning works, but how to apply it effectively in real-world environments.Inside, you’ll learn how to:Process and analyze large datasets efficiently with SparkUnderstand when to use RDDs, DataFrames, and DatasetsScale gradient boosting, deep learning, NLP, and graph algorithmsBuild end-to-end ML pipelines with feature engineering and tuningTrack experiments, deploy models, and monitor performance in productionRather than focusing on theory alone, this book emphasizes practical, hands-on examples that reflect real enterprise workflows. Whether you’re a data scientist, ML engineer, software developer, or aspiring AI practitioner, you’ll gain the skills needed to design machine learning systems that are scalable, maintainable, and production-ready.By the end of this book, you’ll be able to confidently use Spark to power advanced machine learning workloads and transform experimental models into systems that perform reliably at scale.If you’re ready to take your machine learning skills beyond prototypes and into real production environments, this book is your guide.
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AR$131.594
55% OFF
AR$59.817
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