Abstract
Interest in machine learning is growing by leaps and bounds. It has gained a lot of momentum in recent years for a few reasons. The first reason is performance improvements in hardware and algorithms. Machine learning is compute-intensive. With proliferation of multi-CPU and multi-core machines and efficient algorithms, it has become feasible to do machine learning computations in reasonable time. The second reason is that machine learning software has become freely available. Many good quality open source machine learning software are available now for anyone to download. The third reason is that MOOCs (massive open online courses) have created tremendous awareness about machine learning. These courses have democratized the knowledge required to use machine learning. Machine learning skills are no longer limited to a few people with Ph.D. in Statistics. Anyone can now learn and apply machine learning techniques.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Mohammed Guller
About this chapter
Cite this chapter
Guller, M. (2015). Machine Learning with Spark. In: Big Data Analytics with Spark. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0964-6_8
Download citation
DOI: https://doi.org/10.1007/978-1-4842-0964-6_8
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0965-3
Online ISBN: 978-1-4842-0964-6
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)