Machine learning: hands-on for developers and technical professionals
This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Indianapolis, Ind.
Wiley
2015
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781118889497/?ar |
| Zusammenfassung: | This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning. -- |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource illustrations |
| ISBN: | 9781118889398 1118889398 9781118889497 1118889495 9781119183464 1119183464 1118889061 9781118889060 9781322214702 1322214700 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047546034 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228115657.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2015 xx |||||o 00| ||eng c | ||
| 020 | |a 9781118889398 |c electronic bk. |9 978-1-118-88939-8 | ||
| 020 | |a 1118889398 |c electronic bk. |9 1-118-88939-8 | ||
| 020 | |a 9781118889497 |c e-book |9 978-1-118-88949-7 | ||
| 020 | |a 1118889495 |c e-book |9 1-118-88949-5 | ||
| 020 | |a 9781119183464 |9 978-1-119-18346-4 | ||
| 020 | |a 1119183464 |9 1-119-18346-4 | ||
| 020 | |a 1118889061 |9 1-118-88906-1 | ||
| 020 | |a 9781118889060 |9 978-1-118-88906-0 | ||
| 020 | |a 9781322214702 |c MyiLibrary |9 978-1-322-21470-2 | ||
| 020 | |a 1322214700 |9 1-322-21470-0 | ||
| 035 | |a (DE-627-1)047546034 | ||
| 035 | |a (DE-599)KEP047546034 | ||
| 035 | |a (ORHE)9781118889497 | ||
| 035 | |a (DE-627-1)047546034 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a COM |2 bisacsh | |
| 082 | 0 | |a 006.31 |2 23 | |
| 100 | 1 | |a Bell, Jason |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Machine learning |b hands-on for developers and technical professionals |c Jason Bell |
| 264 | 1 | |a Indianapolis, Ind. |b Wiley |c 2015 | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 Online-Ressource |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | |a This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning. -- | ||
| 650 | 0 | |a Machine learning | |
| 650 | 2 | |a Machine Learning | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a COMPUTERS ; General | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a dissertations | |
| 650 | 4 | |a Academic theses | |
| 650 | 4 | |a Academic theses | |
| 650 | 4 | |a Thèses et écrits académiques | |
| 776 | 1 | |z 9781118889060 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781118889060 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781118889497/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-047546034 |
|---|---|
| _version_ | 1821494884418191360 |
| adam_text | |
| any_adam_object | |
| author | Bell, Jason |
| author_facet | Bell, Jason |
| author_role | aut |
| author_sort | Bell, Jason |
| author_variant | j b jb |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047546034 (DE-599)KEP047546034 (ORHE)9781118889497 |
| dewey-full | 006.31 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.31 |
| dewey-search | 006.31 |
| dewey-sort | 16.31 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02827cam a22006012 4500</leader><controlfield tag="001">ZDB-30-ORH-047546034</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228115657.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118889398</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-118-88939-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118889398</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-118-88939-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118889497</subfield><subfield code="c">e-book</subfield><subfield code="9">978-1-118-88949-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118889495</subfield><subfield code="c">e-book</subfield><subfield code="9">1-118-88949-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119183464</subfield><subfield code="9">978-1-119-18346-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119183464</subfield><subfield code="9">1-119-18346-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118889061</subfield><subfield code="9">1-118-88906-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118889060</subfield><subfield code="9">978-1-118-88906-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781322214702</subfield><subfield code="c">MyiLibrary</subfield><subfield code="9">978-1-322-21470-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1322214700</subfield><subfield code="9">1-322-21470-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047546034</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047546034</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781118889497</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047546034</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bell, Jason</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning</subfield><subfield code="b">hands-on for developers and technical professionals</subfield><subfield code="c">Jason Bell</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Indianapolis, Ind.</subfield><subfield code="b">Wiley</subfield><subfield code="c">2015</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning. --</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">dissertations</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Academic theses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Academic theses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Thèses et écrits académiques</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781118889060</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781118889060</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781118889497/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-047546034 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:21:28Z |
| institution | BVB |
| isbn | 9781118889398 1118889398 9781118889497 1118889495 9781119183464 1119183464 1118889061 9781118889060 9781322214702 1322214700 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Wiley |
| record_format | marc |
| spelling | Bell, Jason VerfasserIn aut Machine learning hands-on for developers and technical professionals Jason Bell Indianapolis, Ind. Wiley 2015 ©2015 1 Online-Ressource illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning. -- Machine learning Machine Learning Apprentissage automatique COMPUTERS ; General dissertations Academic theses Thèses et écrits académiques 9781118889060 Erscheint auch als Druck-Ausgabe 9781118889060 |
| spellingShingle | Bell, Jason Machine learning hands-on for developers and technical professionals Machine learning Machine Learning Apprentissage automatique COMPUTERS ; General dissertations Academic theses Thèses et écrits académiques |
| title | Machine learning hands-on for developers and technical professionals |
| title_auth | Machine learning hands-on for developers and technical professionals |
| title_exact_search | Machine learning hands-on for developers and technical professionals |
| title_full | Machine learning hands-on for developers and technical professionals Jason Bell |
| title_fullStr | Machine learning hands-on for developers and technical professionals Jason Bell |
| title_full_unstemmed | Machine learning hands-on for developers and technical professionals Jason Bell |
| title_short | Machine learning |
| title_sort | machine learning hands on for developers and technical professionals |
| title_sub | hands-on for developers and technical professionals |
| topic | Machine learning Machine Learning Apprentissage automatique COMPUTERS ; General dissertations Academic theses Thèses et écrits académiques |
| topic_facet | Machine learning Machine Learning Apprentissage automatique COMPUTERS ; General dissertations Academic theses Thèses et écrits académiques |
| work_keys_str_mv | AT belljason machinelearninghandsonfordevelopersandtechnicalprofessionals |