Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken
For Dummies [Imprint]
Jan. 2020
Hoboken John Wiley & Sons, Incorporated. Jan. 2020 |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119626114/?ar |
| Zusammenfassung: | Your logical, linear guide to the fundamentals of data science programming Data science is exploding-in a good way-with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you're a beginning student or already mid-career, get your copy now and add even more meaning to your life-and everyone else's! |
| Umfang: | 1 Online-Ressource (768 p.) |
| ISBN: | 9781119626114 1119626110 |
Internformat
MARC
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| 650 | 4 | |a Données volumineuses ; Méthodes statistiques | |
| 650 | 4 | |a Données volumineuses | |
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| 650 | 4 | |a Exploration de données (Informatique) ; Logiciels | |
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| id | ZDB-30-ORH-058893016 |
| illustrated | Not Illustrated |
| indexdate | 2025-06-25T12:14:45Z |
| institution | BVB |
| isbn | 9781119626114 1119626110 |
| language | English |
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| spelling | Mueller, John Paul VerfasserIn aut Data Science Programming All-In-One for Dummies Hoboken For Dummies [Imprint] Jan. 2020 Hoboken John Wiley & Sons, Incorporated. Jan. 2020 1 Online-Ressource (768 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Your logical, linear guide to the fundamentals of data science programming Data science is exploding-in a good way-with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you're a beginning student or already mid-career, get your copy now and add even more meaning to your life-and everyone else's! Big data Statistical methods Big data Computer programming Data mining Computer programs Data mining Statistical methods Data mining Data structures (Computer science) Machine learning Python (Computer program language) R (Computer program language) Databases Information retrieval Data Mining Information Storage and Retrieval Machine Learning Bases de données Exploration de données (Informatique) Recherche de l'information Technologie de l'information Données volumineuses ; Méthodes statistiques Données volumineuses Programmation (Informatique) Exploration de données (Informatique) ; Logiciels Structures de données (Informatique) Apprentissage automatique Python (Langage de programmation) R (Langage de programmation) computer programming databases information retrieval information technology Data mining ; Statistical methods Massaron, Luca VerfasserIn aut |
| spellingShingle | Mueller, John Paul Massaron, Luca Data Science Programming All-In-One for Dummies Big data Statistical methods Big data Computer programming Data mining Computer programs Data mining Statistical methods Data mining Data structures (Computer science) Machine learning Python (Computer program language) R (Computer program language) Databases Information retrieval Data Mining Information Storage and Retrieval Machine Learning Bases de données Exploration de données (Informatique) Recherche de l'information Technologie de l'information Données volumineuses ; Méthodes statistiques Données volumineuses Programmation (Informatique) Exploration de données (Informatique) ; Logiciels Structures de données (Informatique) Apprentissage automatique Python (Langage de programmation) R (Langage de programmation) computer programming databases information retrieval information technology Data mining ; Statistical methods |
| title | Data Science Programming All-In-One for Dummies |
| title_auth | Data Science Programming All-In-One for Dummies |
| title_exact_search | Data Science Programming All-In-One for Dummies |
| title_full | Data Science Programming All-In-One for Dummies |
| title_fullStr | Data Science Programming All-In-One for Dummies |
| title_full_unstemmed | Data Science Programming All-In-One for Dummies |
| title_short | Data Science Programming All-In-One for Dummies |
| title_sort | data science programming all in one for dummies |
| topic | Big data Statistical methods Big data Computer programming Data mining Computer programs Data mining Statistical methods Data mining Data structures (Computer science) Machine learning Python (Computer program language) R (Computer program language) Databases Information retrieval Data Mining Information Storage and Retrieval Machine Learning Bases de données Exploration de données (Informatique) Recherche de l'information Technologie de l'information Données volumineuses ; Méthodes statistiques Données volumineuses Programmation (Informatique) Exploration de données (Informatique) ; Logiciels Structures de données (Informatique) Apprentissage automatique Python (Langage de programmation) R (Langage de programmation) computer programming databases information retrieval information technology Data mining ; Statistical methods |
| topic_facet | Big data Statistical methods Big data Computer programming Data mining Computer programs Data mining Statistical methods Data mining Data structures (Computer science) Machine learning Python (Computer program language) R (Computer program language) Databases Information retrieval Data Mining Information Storage and Retrieval Machine Learning Bases de données Exploration de données (Informatique) Recherche de l'information Technologie de l'information Données volumineuses ; Méthodes statistiques Données volumineuses Programmation (Informatique) Exploration de données (Informatique) ; Logiciels Structures de données (Informatique) Apprentissage automatique Python (Langage de programmation) R (Langage de programmation) computer programming databases information retrieval information technology Data mining ; Statistical methods |
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