Next-Generation Machine Learning with Spark (PDF)
The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting...
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Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.
Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark MLlib and advances to more powerful, third-party machine learning algorithms and libraries beyond what is available in the standard Spark MLlib library. By the end of this book, you will be able to apply your knowledge to real-world use cases through dozens of practical examples and insightful explanations.
You will:
- Be introduced to machine learning, Spark, and Spark MLlib 2.4.x
- Achieve lightning-fast gradient boosting on Spark with the XGBoost4J-Spark and LightGBM libraries
- Detect anomalies with the Isolation Forest algorithm for Spark
- Use the Spark NLP and Stanford CoreNLP libraries that support multiple languages
- Optimize your ML workload with the Alluxio in-memory data accelerator for Spark
- Use GraphX and GraphFrames for Graph Analysis
- Perform image recognition using convolutional neural networks
- Utilize the Keras framework and distributed deep learning libraries with Spark
- Autor: Butch Quinto
- 2020, 1st ed, 355 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1484256697
- ISBN-13: 9781484256695
- Erscheinungsdatum: 22.02.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 4.13 MB
- Ohne Kopierschutz
- Vorlesefunktion
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