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...
Κύριος συγγραφέας: | Skiena, Steven S. (Συγγραφέας) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Σειρά: | Texts in Computer Science,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Big and Complex Data Analysis Methodologies and Applications /
Έκδοση: (2017) -
Introduction to Data Science A Python Approach to Concepts, Techniques and Applications /
ανά: Igual, Laura, κ.ά.
Έκδοση: (2017) -
Encyclopedia of Machine Learning and Data Mining
Έκδοση: (2017) -
Nonlinear Dimensionality Reduction
Έκδοση: (2007) -
Selected Contributions in Data Analysis and Classification
Έκδοση: (2007)