Normal view MARC view ISBD view

Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R/ by Pratap Dangeti.

By:

Material type:

TextPublication details: Birmingham, UK. Packt Publishing Ltd. 2017Description: v, 428 pISBN:

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
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	National Institute of Technical Teachers Training & Research		Non-fiction		006.31 D186S (Browse shelf(Opens below))					Available			50373

Browsing National Institute of Technical Teachers Training & Research shelves,Collection: Non-fiction Close shelf browser (Hides shelf browser)

Previous								Next
Previous	006.3 G693C The Cloud Of Intelligence. AI and Future of Business/	006.3 G693C The Cloud Of Intelligence. AI and Future of Business/	006.31 B775U Unlocking Data with Generative AI and RAG. Enhance generative AI systems by integrating internal data with large language models using RAG/	006.31 D186S Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R/	006.31 D395R RAG-Driven Generative AI. Build custom retreival augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone/	307.1412 B181R Rural Development for Sustainable Social-ecological Systems Putting Communities First	307.1412 B181R Rural Development for Sustainable Social-ecological Systems Putting Communities First	Next

There are no comments on this title.

to post a comment.