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Englisch
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Beschreibung
An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
Über den Autor
Chirag Shah is an Associate Professor of Information and Computer Science at Rutgers University, New Jersey. He investigates issues of search and recommendations using data mining and machine learning. Dr Shah received his M.S. in Computer Science from the University of Massachusetts, Amherst, and his Ph.D. in Information Science from the University of North Carolina, Chapel Hill. He directs the InfoSeeking Lab, supported by awards from the National Science Foundation, the National Institute of Health, the Institute of Museum and Library Services, as well as Amazon, Google, and Yahoo. He was a Visiting Research Scientist at Spotify and has served as a consultant to the United Nations Data Analytics on various data science projects. He is currently working on large-scale e-commerce data and machine learning problems as Amazon Scholar.
Inhaltsverzeichnis
Part I. Introduction: 1. Introduction; 2. Data; 3. Techniques; Part II. Tools: 4. UNIX; 5. Python; 6. R; 7. MySQL; Part III. Machine Learning: 8. Machine learning introduction and regression; 9. Supervised learning; 10. Unsupervised learning; Part IV. Applications and Evaluations: 11. Hands-on with solving data problems; 12. Data collection, experimentation and evaluation.
Details
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Management |
Genre: | Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
ISBN-13: | 9781108472449 |
ISBN-10: | 1108472443 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Shah, Chirag |
Hersteller: | Cambridge University Press |
Maße: | 251 x 194 x 27 mm |
Von/Mit: | Chirag Shah |
Erscheinungsdatum: | 02.04.2020 |
Gewicht: | 1,15 kg |
Über den Autor
Chirag Shah is an Associate Professor of Information and Computer Science at Rutgers University, New Jersey. He investigates issues of search and recommendations using data mining and machine learning. Dr Shah received his M.S. in Computer Science from the University of Massachusetts, Amherst, and his Ph.D. in Information Science from the University of North Carolina, Chapel Hill. He directs the InfoSeeking Lab, supported by awards from the National Science Foundation, the National Institute of Health, the Institute of Museum and Library Services, as well as Amazon, Google, and Yahoo. He was a Visiting Research Scientist at Spotify and has served as a consultant to the United Nations Data Analytics on various data science projects. He is currently working on large-scale e-commerce data and machine learning problems as Amazon Scholar.
Inhaltsverzeichnis
Part I. Introduction: 1. Introduction; 2. Data; 3. Techniques; Part II. Tools: 4. UNIX; 5. Python; 6. R; 7. MySQL; Part III. Machine Learning: 8. Machine learning introduction and regression; 9. Supervised learning; 10. Unsupervised learning; Part IV. Applications and Evaluations: 11. Hands-on with solving data problems; 12. Data collection, experimentation and evaluation.
Details
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Management |
Genre: | Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
ISBN-13: | 9781108472449 |
ISBN-10: | 1108472443 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Shah, Chirag |
Hersteller: | Cambridge University Press |
Maße: | 251 x 194 x 27 mm |
Von/Mit: | Chirag Shah |
Erscheinungsdatum: | 02.04.2020 |
Gewicht: | 1,15 kg |
Warnhinweis