Next-Generation Machine Learning with Spark (PDF)

Name: Next-Generation Machine Learning with Spark
Brand: Springer-Verlag GmbH
SKU: 133865576
Price: 65.00 CHF
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Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More (Sprache: Englisch)

Autor: Butch Quinto

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Next-Generation Machine Learning with Spark, Butch Quinto

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Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.
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.

The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.

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

Autoren-Porträt von Butch Quinto

Butch Quinto is founder and Chief AI Officer at Intelvi AI, an artificial intelligence company that develops cutting-edge solutions for the defense, industrial, and transportation industries. As Chief AI Officer, Butch heads strategy, innovation, research, and development. Previously, he was the Director of Artificial Intelligence at a leading technology firm and Chief Data Officer at an AI startup. As Director of Analytics at Deloitte, Butch led the development of several enterprise-grade AI and IoT solutions as well as strategy, business development, and venture capital due diligence. He has more than 20 years of experience in various technology and leadership roles in several industries including banking and finance, telecommunications, government, utilities, transportation, e-commerce, retail, manufacturing, and bioinformatics. Butch is the author of Next-Generation Big Data (Apress) and a member of the Association for the Advancement of Artificial Intelligence and the American Association for the Advancement of Science.

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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.

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Dateiformat: PDF
Grösse: 4.13 MB
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Englisch

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