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Principles of strategic data science : creating value from data, big and small /
Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing Ltd.,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Prevos, Peter, |e author. | |
| 245 | 1 | 0 | |a Principles of strategic data science : |b creating value from data, big and small / |c Peter Prevos. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing Ltd., |c 2019. | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (vi, 85 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 505 | 0 | |a What is data science? -- Good data science -- Strategic data science -- The data-driven organization. | |
| 505 | 8 | |a Cover; FM; Table of Contents; Preface; Chapter 1: What is Data Science?; Introduction; Data-Driven Organization; The Data Revolution; The Elements of Data Science; Domain Knowledge; Mathematical Knowledge; Computer Science; The Unicorn Data Scientist?; The Purpose of Data Science; Chapter 2: Good Data Science; Introduction; A Data Science Trivium; Useful Data Science; Reality; Data; Information; Knowledge; The Feedback Loop; Sound Data Science; Validity; Reliability; Reproducibility; Governance; Aesthetic Data Science; Visualization; Reports; Best-Practice Data Science | |
| 505 | 8 | |a Chapter 3: Strategic Data ScienceIntroduction; The Data Science Continuum; Collecting Data; Descriptive Statistics; Business Reporting; Diagnostics; Qualitative Data Science; Predicting the Future; Traditional Predictive Methods; Machine Learning; Prescribing Action; Toward a Data-Driven Organization; Chapter 4: The Data-Driven Organization; Introduction; People; The Data Science Team; Data Science Consumers; Data Science Culture; Systems; Process; Define; Prepare; Understand; Communicate; The Limitations of Data Science; The Limits of Computation; Ethical Data Science; Chapter 5: References; Index. | |
| 520 | |a Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on August 25, 2020). | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Databases. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Electronic data processing. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 7 | |a Computer programming / software development. |2 bicssc | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a Information technology: general issues. |2 bicssc | |
| 650 | 7 | |a Computers |x Programming |x General. |2 bisacsh | |
| 650 | 7 | |a Computers |x Programming Languages |x Python. |2 bisacsh | |
| 650 | 7 | |a Computers |x General. |2 bisacsh | |
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| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Databases |2 fast | |
| 650 | 7 | |a Electronic data processing |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Prevos, Peter. |t Principles of Strategic Data Science : Creating Value from Data, Big and Small. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781838985295 |
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