Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions
Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key prin...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2024
|
| Schlagworte: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049683916 | ||
| 003 | DE-604 | ||
| 005 | 20240619 | ||
| 007 | t | ||
| 008 | 240513s2024 |||| 00||| eng d | ||
| 020 | |a 9781009318259 |c Kartoniert, Paperback : EUR 34,60 |9 978-1-00-931825-9 | ||
| 035 | |a (OCoLC)1443584430 | ||
| 035 | |a (DE-599)KXP1871328713 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-83 | ||
| 082 | 0 | |a a005.7 | |
| 084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
| 100 | 1 | |a Triguero, Isaac |e Verfasser |0 (DE-588)1306685737 |4 aut | |
| 245 | 1 | 0 | |a Large-Scale Data Analytics with Python and Spark |b A Hands-on Guide to Implementing Machine Learning Solutions |c Isaac Triguero, Mikel Galar |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2024 | |
| 300 | |a xvi, 378 Seiten | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Interessenniveau: 4CTM, für die Graduierten- und Postgraduiertenausbildung | ||
| 500 | |a Interessenniveau: 4TC, Lehrbuch, Skript | ||
| 520 | |a Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments | ||
| 650 | 0 | 7 | |a Apache Spark |0 (DE-588)1129113116 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Data analysis: general | |
| 653 | 0 | |a Data capture & analysis | |
| 653 | 0 | |a Datenerfassung und -analyse | |
| 653 | 0 | |a Datenwissenschaft und -analyse: allgemein | |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Maschinelles Lernen | |
| 689 | 0 | 0 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 2 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 3 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | 4 | |a Apache Spark |0 (DE-588)1129113116 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Galar, Mikel |e Verfasser |0 (DE-588)1235489523 |4 aut | |
Datensatz im Suchindex
| _version_ | 1805083852190777344 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Triguero, Isaac Galar, Mikel |
| author_GND | (DE-588)1306685737 (DE-588)1235489523 |
| author_facet | Triguero, Isaac Galar, Mikel |
| author_role | aut aut |
| author_sort | Triguero, Isaac |
| author_variant | i t it m g mg |
| building | Verbundindex |
| bvnumber | BV049683916 |
| classification_rvk | ST 530 |
| ctrlnum | (OCoLC)1443584430 (DE-599)KXP1871328713 |
| dewey-raw | a005.7 |
| dewey-search | a005.7 |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV049683916</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240619</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">240513s2024 |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781009318259</subfield><subfield code="c">Kartoniert, Paperback : EUR 34,60</subfield><subfield code="9">978-1-00-931825-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1443584430</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1871328713</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-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">a005.7</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Triguero, Isaac</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1306685737</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Large-Scale Data Analytics with Python and Spark</subfield><subfield code="b">A Hands-on Guide to Implementing Machine Learning Solutions</subfield><subfield code="c">Isaac Triguero, Mikel Galar</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvi, 378 Seiten</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Interessenniveau: 4CTM, für die Graduierten- und Postgraduiertenausbildung</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Interessenniveau: 4TC, Lehrbuch, Skript</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Apache Spark</subfield><subfield code="0">(DE-588)1129113116</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Data analysis: general</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Data capture & analysis</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Datenerfassung und -analyse</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Datenwissenschaft und -analyse: allgemein</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Maschinelles Lernen</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Apache Spark</subfield><subfield code="0">(DE-588)1129113116</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">Galar, Mikel</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1235489523</subfield><subfield code="4">aut</subfield></datafield></record></collection> |
| id | DE-604.BV049683916 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T07:55:08Z |
| institution | BVB |
| isbn | 9781009318259 |
| language | English |
| oclc_num | 1443584430 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | xvi, 378 Seiten |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Triguero, Isaac Verfasser (DE-588)1306685737 aut Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions Isaac Triguero, Mikel Galar Cambridge Cambridge University Press 2024 xvi, 378 Seiten txt rdacontent n rdamedia nc rdacarrier Interessenniveau: 4CTM, für die Graduierten- und Postgraduiertenausbildung Interessenniveau: 4TC, Lehrbuch, Skript Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments Apache Spark (DE-588)1129113116 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Data analysis: general Data capture & analysis Datenerfassung und -analyse Datenwissenschaft und -analyse: allgemein Machine learning Maschinelles Lernen Big Data (DE-588)4802620-7 s Datenanalyse (DE-588)4123037-1 s Maschinelles Lernen (DE-588)4193754-5 s Python Programmiersprache (DE-588)4434275-5 s Apache Spark (DE-588)1129113116 s DE-604 Galar, Mikel Verfasser (DE-588)1235489523 aut |
| spellingShingle | Triguero, Isaac Galar, Mikel Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions Apache Spark (DE-588)1129113116 gnd Big Data (DE-588)4802620-7 gnd Python Programmiersprache (DE-588)4434275-5 gnd Datenanalyse (DE-588)4123037-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)1129113116 (DE-588)4802620-7 (DE-588)4434275-5 (DE-588)4123037-1 (DE-588)4193754-5 |
| title | Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions |
| title_auth | Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions |
| title_exact_search | Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions |
| title_full | Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions Isaac Triguero, Mikel Galar |
| title_fullStr | Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions Isaac Triguero, Mikel Galar |
| title_full_unstemmed | Large-Scale Data Analytics with Python and Spark A Hands-on Guide to Implementing Machine Learning Solutions Isaac Triguero, Mikel Galar |
| title_short | Large-Scale Data Analytics with Python and Spark |
| title_sort | large scale data analytics with python and spark a hands on guide to implementing machine learning solutions |
| title_sub | A Hands-on Guide to Implementing Machine Learning Solutions |
| topic | Apache Spark (DE-588)1129113116 gnd Big Data (DE-588)4802620-7 gnd Python Programmiersprache (DE-588)4434275-5 gnd Datenanalyse (DE-588)4123037-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Apache Spark Big Data Python Programmiersprache Datenanalyse Maschinelles Lernen |
| work_keys_str_mv | AT trigueroisaac largescaledataanalyticswithpythonandsparkahandsonguidetoimplementingmachinelearningsolutions AT galarmikel largescaledataanalyticswithpythonandsparkahandsonguidetoimplementingmachinelearningsolutions |