COPYRIGHT YEAR

2015

AUTHORS

Mohammed Guller

TITLE

Machine Learning with Spark

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.

Related objects

How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

Download the RDF metadata as:   json-ld nt turtle xml License info


22 TRIPLES      22 PREDICATES      19 URIs      14 LITERALS

Subject Predicate Object
1 book-chapters:1c4a76ca27e642e3b6664cd4e869906c sg:abstract 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.
2 sg:abstractRights OpenAccess
3 sg:bibliographyRights Restricted
4 sg:bodyHtmlRights Restricted
5 sg:bodyPdfRights Restricted
6 sg:chapterNumber Chapter 8
7 sg:copyrightHolder Mohammed Guller
8 sg:copyrightYear 2015
9 sg:ddsId Chap8
10 sg:doi 10.1007/978-1-4842-0964-6_8
11 sg:esmRights OpenAccess
12 sg:hasContribution contributions:6409bc97f36dbb548aba7d733be5fbcd
13 sg:language En
14 sg:license http://scigraph.springernature.com/explorer/license/
15 sg:metadataRights OpenAccess
16 sg:pageFirst 153
17 sg:pageLast 205
18 sg:scigraphId 1c4a76ca27e642e3b6664cd4e869906c
19 sg:title Machine Learning with Spark
20 sg:webpage https://link.springer.com/10.1007/978-1-4842-0964-6_8
21 rdf:type sg:BookChapter
22 rdfs:label BookChapter: Machine Learning with Spark
HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular JSON format for linked data.

curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/book-chapters/1c4a76ca27e642e3b6664cd4e869906c'

N-Triples is a line-based linked data format ideal for batch operations .

curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/book-chapters/1c4a76ca27e642e3b6664cd4e869906c'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/book-chapters/1c4a76ca27e642e3b6664cd4e869906c'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/book-chapters/1c4a76ca27e642e3b6664cd4e869906c'






Preview window. Press ESC to close (or click here)


...