Think like a data scientist tackle the data science process step-by-step
Summary Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems. About the Technology Data collected from customers, scie...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, New York :
Manning Publications
[2017]
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630106406719 |
Tabla de Contenidos:
- Part 1. Preparing and gathering data and knowledge. Philosophies of data science
- Setting goals by asking good questions
- Data all around us: the virtual wilderness
- Data wrangling: from capture to domestication
- Data assessment: poking and prodding
- Part 2. Building a product with software and statistics. Developing a plan
- Statistics and modeling: concepts and foundations
- Software: statistics in action
- Supplementary software: bigger, faster, more efficient
- Plan execution: putting it all together
- Part 3. Finishing off the product and wrapping up. Delivering a product
- After product delivery: problems and revisions
- Wrapping up: putting the project away.
