Think like a data scientist : tackle the data science process step-by-step /

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, scientific m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Godsey, Brian (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications, [2017]
Temas:
Data mining.
Big data.
Electronic data processing.
Exploration de données (Informatique)
Données volumineuses.
Big data
Data mining
Electronic data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
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.

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