Fotografía de autor
4 Obras 86 Miembros 2 Reseñas

Sobre El Autor

Jeroen Janssens, a Senior Data Scientist at YPlan in New York, specializes in machine learning, anomaly detection, and data visualization. He holds an MSc in Artificial Intelligence from Maastricht University and a PhD in Machine Learning from Tilburg University. Jeroen is passionate about building mostrar más open source tools for data science. mostrar menos

Obras de Jeroen Janssens

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Miembros

Reseñas

A really great description of command line tools and how to use and combine them to perform basic data operations with the OSEMN model (Obtain, Scrub, Explore, Model, iNterpret) of data science. I do this at work quite a bit, but I learned about some new tools and methods. The premise of the book is that you can perform many of these data operations (except interpretation) using chains of these well-tested tools.
 
Denunciada
questbird | otra reseña | Sep 18, 2017 |
Great book, easy examples (some have outdated links) - to this really under-rated topic. While the book is plenty shorter than most books on data science, it walks through many tools that help a lot for command line tasks.
Working with Linux since quite a while, many of the tools are well known, many are not, and Joeren has a lot of tools added himself, especially to make repetitive tasks easier.

If anything, exploring some more options of some tools, or help to install a few of the more complex programs might be good, but overall: excellent.… (más)
½
 
Denunciada
andreas.wpv | otra reseña | Jan 15, 2017 |

Estadísticas

Obras
4
Miembros
86
Popularidad
#213,013
Valoración
½ 3.7
Reseñas
2
ISBNs
13
Idiomas
1

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