Description: Marhoefer Roberts presents ...Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learning series) ISBN:0262047071 Author:Sugiyama, Masashi, Bao, Han, Ishida, Takashi, Lu, Nan, Sakai Publisher:The MIT Press Release Date:8/23/2022 Seller Category:1 Qty Available:4 Condition:Used: Excellent Sku: MIT-PB-LN-0262047071Notes: LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.Don't forget to check out other great deals in our eBay Store!!
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Book Title: Machine Learning from Weak Supervision: An Empirical Risk Minimiz
Artist: Sugiyama, Masashi, Bao, Han, Ishida, Takashi, Lu, Nan, Sakai
Number of Pages: 320 Pages
Language: English
Publication Name: Machine Learning from Weak Supervision : an Empirical Risk Minimization Approach
Publisher: MIT Press
Subject: Game Theory, Programming / Algorithms, Intelligence (Ai) & Semantics, General
Publication Year: 2022
Item Height: 0.8 in
Type: Textbook
Item Weight: 26.3 Oz
Author: Tomoya Sakai, Han Bao, Masashi Sugiyama, Nan Lu, Takashi Ishida
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Science
Series: Adaptive Computation and Machine Learning Ser.
Item Width: 7.2 in
Format: Hardcover