Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies

By:

Contributor(s):

Material type: Text

TextLanguage: English Publication details: The MIT Press c2015Edition: Description: xxii, 595pISBN:

Subject(s):

DDC classification:

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Books	Central Library	006.31 KEL(FUN) (Browse shelf(Opens below))	1	Available	22845

Total holds: 0

Previous								Next
Previous	006.31 HOO(MAC) Machine learning for the quantified self : on the art of learning from sensory data	006.31 HOP(LEA) Learning TensorFlow : a guide to building deep learning systems	006.31 HSI(MAC) Machine learning methods in the environmental sciences : neural networks and kernels	006.31 KEL(FUN) Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies	006.31 KNO(MAC) Machine learning : a concise introduction	006.31 LAA(TAR) Targeted learning in data science : causal inference for complex longitudinal studies	006.31 MA(DEE) Deep learning on graphs	Next

Inv no. SAR/67/2016; dt.05-07-2016

There are no comments on this title.

to post a comment.