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Statistics for machine learning: Techniques for exploring supervised, unsupervised and reinforcement learning models with Python and R

By:

Dangeti, Pratap

Material type: Text

Text

TextPublication details: Mumbai ; Packt, ©2017Edition: 1stDescription: v, 426pISBN:

9781788295758

Subject(s):

Machine Learning

DDC classification:

006.31015195 DAN

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Reference Books	GCET LIBRARY B. Tech (AI)	Artificial intelligence	006.31015195 DAN (Browse shelf(Opens below))	Not for loan		072749
Reference Books	GCET LIBRARY B. Tech (AI)	Artificial intelligence	006.31015195 DAN (Browse shelf(Opens below))	Not for loan		072750

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Previous	006.31 ZHE Feature engineering for machine learning: Principles and techniques for data scientists	006.31 ZHE Feature engineering for machine learning: Principles and techniques for data scientists	006.31 ZHE Feature engineering for machine learning: Principles and techniques for data scientists	006.31015195 DAN Statistics for machine learning: Techniques for exploring supervised, unsupervised and reinforcement learning models with Python and R	006.31015195 DAN Statistics for machine learning: Techniques for exploring supervised, unsupervised and reinforcement learning models with Python and R	006.32 ATI Advanced deep learning with keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients.	006.32 ATI Advanced deep learning with keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients.	Next

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