Mastering Machine Learning with Spark
| Author | : | |
| Rating | : | 4.21 (704 Votes) |
| Asin | : | B01JP2018E |
| Format Type | : | |
| Number of Pages | : | 309 Pages |
| Publish Date | : | 2013-04-11 |
| Language | : | English |
DESCRIPTION:
He is also interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages. Alex Tellez is a Machine Learning Scientist, cyclist, and huge fan of the Apache Spark project. His favorite topic in machine learning is the use of neural networks for Natural Language Proce
With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter.This book gives you access to transform data into actionable knowledge. He obtained his PhD from Charles University in Prague in 2012, enjoyed a post-doc at Purdue University, and now helps develop the distributed machine learning engine called H2O. Key FeaturesProcess and analyze big data in a distributed and scalable wayWrite sophisticated Spark pipelines that incorporate elaborate extractionBuild and use regression models to predict flight delaysBook Des
He has participated in the design and development of various systems including the SOFA and Fractal component systems, and jPapabench control system.. He obtained his PhD from Charles University in Prague in 2012, enjoyed a post-doc at Purdue University, and now helps develop the distributed machine learning engine called H2O. He is also interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages. He has worked in data science for the past 5 years at start-ups, mid-caps, and Fortune 100 companies spanning a wide variety of use cases covering e-commerce, travel, finance, human resources, and healthcare. About the AuthorAlex Tellez is a Machine Learning Scientist, cyclist, and huge fan of the Apache Spark project. His favor