R: unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules
Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner.
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK
Packt Publishing
2016
|
Schriftenreihe: | Learning path
|
Schlagworte: | |
Online-Zugang: | DE-526 https://learning.oreilly.com/library/view/-/9781787127340/?ar |
Zusammenfassung: | Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn ? apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Solve interesting real-world problems using machine learning and R as the journey unfolds Write reusable code and build complete machine learning systems from the ground up Learn specialized machine learning techniques for text mining, social network data, big data, and more Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems Evaluate and improve the performance of machine learning models Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it? This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you'll get to grips with the fundamentals of R. |
Beschreibung: | 1 online resource (1 volume) illustrations. |
ISBN: | 9781787128286 1787128288 |
Internformat
MARC
LEADER | 00000nmm a22000001c 4500 | ||
---|---|---|---|
001 | BV049765967 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 240703s2016 |||| o||u| ||||||eng d | ||
020 | |a 9781787128286 |9 978-1-78712-828-6 | ||
020 | |a 1787128288 |9 1-78712-828-8 | ||
035 | |a (OCoLC)1446255345 | ||
035 | |a (DE-599)KEP047705213 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-526 | ||
084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
100 | 1 | |a Bali, Raghav |e Verfasser |4 aut | |
245 | 1 | 0 | |a R |b unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
246 | 1 | 3 | |a Find out how to build smarter machine learning systems with R |
264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2016 | |
300 | |a 1 online resource (1 volume) |b illustrations. | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Learning path | |
520 | 3 | |a Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. | |
520 | 3 | |a About This Book Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn ? apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Solve interesting real-world problems using machine learning and R as the journey unfolds Write reusable code and build complete machine learning systems from the ground up Learn specialized machine learning techniques for text mining, | |
520 | 3 | |a social network data, big data, and more Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems Evaluate and improve the performance of machine learning models Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it? This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you'll get to grips with the fundamentals of R. | |
650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
653 | 0 | |a Machine learning | |
653 | 0 | |a R (Computer program language) | |
653 | 0 | |a Electronic books | |
653 | 0 | |a Electronic books ; local | |
689 | 0 | 0 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Sarkar, Dipanjan |e Sonstige |4 oth | |
700 | 1 | |a Lantz, Brett |e Sonstige |4 oth | |
700 | 1 | |a Lesmeister, Cory |e Sonstige |4 oth | |
856 | 4 | 0 | |m X:ORHE |u https://learning.oreilly.com/library/view/-/9781787127340/?ar |x Aggregator |
912 | |a ZDB-30-PQE | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035107273 | |
966 | e | |u https://ebookcentral.proquest.com/lib/th-wildau/detail.action?docID=4728346 |l DE-526 |p ZDB-30-PQE |q BTW_PDA_PQE_KAUF |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1806142393248907264 |
---|---|
adam_text | |
any_adam_object | |
author | Bali, Raghav |
author_facet | Bali, Raghav |
author_role | aut |
author_sort | Bali, Raghav |
author_variant | r b rb |
building | Verbundindex |
bvnumber | BV049765967 |
classification_rvk | ST 250 |
collection | ZDB-30-PQE |
ctrlnum | (OCoLC)1446255345 (DE-599)KEP047705213 |
discipline | Informatik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a22000001c 4500</leader><controlfield tag="001">BV049765967</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240703s2016 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781787128286</subfield><subfield code="9">978-1-78712-828-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1787128288</subfield><subfield code="9">1-78712-828-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1446255345</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047705213</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-526</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bali, Raghav</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">R</subfield><subfield code="b">unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Find out how to build smarter machine learning systems with R</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume)</subfield><subfield code="b">illustrations.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Learning path</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">About This Book Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn ? apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Solve interesting real-world problems using machine learning and R as the journey unfolds Write reusable code and build complete machine learning systems from the ground up Learn specialized machine learning techniques for text mining,</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">social network data, big data, and more Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems Evaluate and improve the performance of machine learning models Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it? This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you'll get to grips with the fundamentals of R.</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electronic books</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electronic books ; local</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sarkar, Dipanjan</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lantz, Brett</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lesmeister, Cory</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="m">X:ORHE</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781787127340/?ar</subfield><subfield code="x">Aggregator</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035107273</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/th-wildau/detail.action?docID=4728346</subfield><subfield code="l">DE-526</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">BTW_PDA_PQE_KAUF</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV049765967 |
illustrated | Illustrated |
indexdate | 2024-08-01T00:20:12Z |
institution | BVB |
isbn | 9781787128286 1787128288 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035107273 |
oclc_num | 1446255345 |
open_access_boolean | |
owner | DE-526 |
owner_facet | DE-526 |
physical | 1 online resource (1 volume) illustrations. |
psigel | ZDB-30-PQE ZDB-30-PQE BTW_PDA_PQE_KAUF |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Packt Publishing |
record_format | marc |
series2 | Learning path |
spelling | Bali, Raghav Verfasser aut R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules Find out how to build smarter machine learning systems with R Birmingham, UK Packt Publishing 2016 1 online resource (1 volume) illustrations. txt rdacontent c rdamedia cr rdacarrier Learning path Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn ? apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action Solve interesting real-world problems using machine learning and R as the journey unfolds Write reusable code and build complete machine learning systems from the ground up Learn specialized machine learning techniques for text mining, social network data, big data, and more Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems Evaluate and improve the performance of machine learning models Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it? This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you'll get to grips with the fundamentals of R. R Programm (DE-588)4705956-4 gnd rswk-swf Machine learning R (Computer program language) Electronic books Electronic books ; local R Programm (DE-588)4705956-4 s DE-604 Sarkar, Dipanjan Sonstige oth Lantz, Brett Sonstige oth Lesmeister, Cory Sonstige oth X:ORHE https://learning.oreilly.com/library/view/-/9781787127340/?ar Aggregator |
spellingShingle | Bali, Raghav R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules R Programm (DE-588)4705956-4 gnd |
subject_GND | (DE-588)4705956-4 |
title | R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
title_alt | Find out how to build smarter machine learning systems with R |
title_auth | R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
title_exact_search | R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
title_full | R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
title_fullStr | R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
title_full_unstemmed | R unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
title_short | R |
title_sort | r unleash machine learning techniques find out how to build smarter machine learning systems with r follow this three module course to become a more fluent machine learning practitioner a course in three modules |
title_sub | unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules |
topic | R Programm (DE-588)4705956-4 gnd |
topic_facet | R Programm |
url | https://learning.oreilly.com/library/view/-/9781787127340/?ar |
work_keys_str_mv | AT baliraghav runleashmachinelearningtechniquesfindouthowtobuildsmartermachinelearningsystemswithrfollowthisthreemodulecoursetobecomeamorefluentmachinelearningpractitioneracourseinthreemodules AT sarkardipanjan runleashmachinelearningtechniquesfindouthowtobuildsmartermachinelearningsystemswithrfollowthisthreemodulecoursetobecomeamorefluentmachinelearningpractitioneracourseinthreemodules AT lantzbrett runleashmachinelearningtechniquesfindouthowtobuildsmartermachinelearningsystemswithrfollowthisthreemodulecoursetobecomeamorefluentmachinelearningpractitioneracourseinthreemodules AT lesmeistercory runleashmachinelearningtechniquesfindouthowtobuildsmartermachinelearningsystemswithrfollowthisthreemodulecoursetobecomeamorefluentmachinelearningpractitioneracourseinthreemodules AT baliraghav findouthowtobuildsmartermachinelearningsystemswithr AT sarkardipanjan findouthowtobuildsmartermachinelearningsystemswithr AT lantzbrett findouthowtobuildsmartermachinelearningsystemswithr AT lesmeistercory findouthowtobuildsmartermachinelearningsystemswithr |