The Data Science Design Manual
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and...
Main Author: | Skiena, Steven S. (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Series: | Texts in Computer Science,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Big and Complex Data Analysis Methodologies and Applications /
Published: (2017) -
Introduction to Data Science A Python Approach to Concepts, Techniques and Applications /
by: Igual, Laura, et al.
Published: (2017) -
Encyclopedia of Machine Learning and Data Mining
Published: (2017) -
Nonlinear Dimensionality Reduction
Published: (2007) -
Data Science Innovative Developments in Data Analysis and Clustering /
Published: (2017)