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:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2024
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| Schlagwörter: | |
| Zusammenfassung: | 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 |
| Beschreibung: | Interessenniveau: 4CTM, für die Graduierten- und Postgraduiertenausbildung Interessenniveau: 4TC, Lehrbuch, Skript |
| Umfang: | xvi, 378 Seiten |
| ISBN: | 9781009318259 |
Internformat
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| 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 | ||
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Datensatz im Suchindex
| _version_ | 1818991987318063104 |
|---|---|
| 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 |
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| id | DE-604.BV049683916 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T20:19:00Z |
| institution | BVB |
| isbn | 9781009318259 |
| language | English |
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| physical | xvi, 378 Seiten |
| publishDate | 2024 |
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| 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 Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Apache Spark (DE-588)1129113116 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Big Data (DE-588)4802620-7 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 Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd Apache Spark (DE-588)1129113116 gnd Datenanalyse (DE-588)4123037-1 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4434275-5 (DE-588)1129113116 (DE-588)4123037-1 (DE-588)4802620-7 |
| 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 | Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd Apache Spark (DE-588)1129113116 gnd Datenanalyse (DE-588)4123037-1 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Maschinelles Lernen Python Programmiersprache Apache Spark Datenanalyse Big Data |
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