Machine learning for dummies:
AYour no-nonsense guide to making sense of machine learningMachine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, t...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons, Inc.
[2016]
|
| Schriftenreihe: | For dummies
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119245513/?ar |
| Zusammenfassung: | AYour no-nonsense guide to making sense of machine learningMachine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learningLearn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysisLearn to code in R using R StudioFind out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning! |
| Beschreibung: | Includes bibliographical references. - Online resource; title from PDF title page (EBSCO, viewed June 7, 2016) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781119245759 1119245753 9781119245773 111924577X 9781119245513 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047552859 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120109.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2016 xx |||||o 00| ||eng c | ||
| 020 | |a 9781119245759 |c electronic bk. |9 978-1-119-24575-9 | ||
| 020 | |a 1119245753 |c electronic bk. |9 1-119-24575-3 | ||
| 020 | |a 9781119245773 |c electronic bk. |9 978-1-119-24577-3 | ||
| 020 | |a 111924577X |c electronic bk. |9 1-119-24577-X | ||
| 020 | |a 9781119245513 |9 978-1-119-24551-3 | ||
| 035 | |a (DE-627-1)047552859 | ||
| 035 | |a (DE-599)KEP047552859 | ||
| 035 | |a (ORHE)9781119245513 | ||
| 035 | |a (DE-627-1)047552859 | ||
| 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 Mueller, John |d 1958- |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Machine learning for dummies |c by John Paul Mueller and Luca Massaron |
| 264 | 1 | |a Hoboken, NJ |b John Wiley & Sons, Inc. |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 0 | |a For dummies | |
| 500 | |a Includes bibliographical references. - Online resource; title from PDF title page (EBSCO, viewed June 7, 2016) | ||
| 520 | |a AYour no-nonsense guide to making sense of machine learningMachine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learningLearn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysisLearn to code in R using R StudioFind out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning! | ||
| 650 | 0 | |a Machine learning | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a COMPUTERS ; General | |
| 650 | 4 | |a Machine learning | |
| 700 | 1 | |a Massaron, Luca |e VerfasserIn |4 aut | |
| 776 | 1 | |z 9781119245513 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781119245513 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781119245513/?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-047552859 |
|---|---|
| _version_ | 1821494883165143040 |
| adam_text | |
| any_adam_object | |
| author | Mueller, John 1958- Massaron, Luca |
| author_facet | Mueller, John 1958- Massaron, Luca |
| author_role | aut aut |
| author_sort | Mueller, John 1958- |
| author_variant | j m jm l m lm |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047552859 (DE-599)KEP047552859 (ORHE)9781119245513 |
| 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>02814cam a22005052 4500</leader><controlfield tag="001">ZDB-30-ORH-047552859</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120109.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119245759</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-119-24575-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119245753</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-119-24575-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119245773</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-119-24577-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">111924577X</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-119-24577-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119245513</subfield><subfield code="9">978-1-119-24551-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047552859</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047552859</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781119245513</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047552859</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">Mueller, John</subfield><subfield code="d">1958-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning for dummies</subfield><subfield code="c">by John Paul Mueller and Luca Massaron</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, NJ</subfield><subfield code="b">John Wiley & Sons, Inc.</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</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="490" ind1="0" ind2=" "><subfield code="a">For dummies</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references. - Online resource; title from PDF title page (EBSCO, viewed June 7, 2016)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">AYour no-nonsense guide to making sense of machine learningMachine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learningLearn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysisLearn to code in R using R StudioFind out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><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="700" ind1="1" ind2=" "><subfield code="a">Massaron, Luca</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781119245513</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">9781119245513</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/-/9781119245513/?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-047552859 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:21:27Z |
| institution | BVB |
| isbn | 9781119245759 1119245753 9781119245773 111924577X 9781119245513 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | John Wiley & Sons, Inc. |
| record_format | marc |
| series2 | For dummies |
| spelling | Mueller, John 1958- VerfasserIn aut Machine learning for dummies by John Paul Mueller and Luca Massaron Hoboken, NJ John Wiley & Sons, Inc. [2016] ©2016 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For dummies Includes bibliographical references. - Online resource; title from PDF title page (EBSCO, viewed June 7, 2016) AYour no-nonsense guide to making sense of machine learningMachine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learningLearn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysisLearn to code in R using R StudioFind out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning! Machine learning Apprentissage automatique COMPUTERS ; General Massaron, Luca VerfasserIn aut 9781119245513 Erscheint auch als Druck-Ausgabe 9781119245513 |
| spellingShingle | Mueller, John 1958- Massaron, Luca Machine learning for dummies Machine learning Apprentissage automatique COMPUTERS ; General |
| title | Machine learning for dummies |
| title_auth | Machine learning for dummies |
| title_exact_search | Machine learning for dummies |
| title_full | Machine learning for dummies by John Paul Mueller and Luca Massaron |
| title_fullStr | Machine learning for dummies by John Paul Mueller and Luca Massaron |
| title_full_unstemmed | Machine learning for dummies by John Paul Mueller and Luca Massaron |
| title_short | Machine learning for dummies |
| title_sort | machine learning for dummies |
| topic | Machine learning Apprentissage automatique COMPUTERS ; General |
| topic_facet | Machine learning Apprentissage automatique COMPUTERS ; General |
| work_keys_str_mv | AT muellerjohn machinelearningfordummies AT massaronluca machinelearningfordummies |