April 2025
Intermediate to advanced
430 pages
14h 52m
English
book
Math Optimization for Artificial Intelligence
by Umesh Kumar Lilhore, Vishal Dutt, T. Ananth Kumar, Martin Margala, Kaamran Raahemifar
Content preview from Math Optimization for Artificial Intelligence
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6 Optimization in Natural Language Processing Models for Enhanced Performance and Efficiency
A. Jasmine Sugil
K. Merriliance
Abstract
This chapter provides an in-depth exploration of optimization strategies in natural language processing (NLP), focusing on their part in augmenting model performance besides scalability across different tasks. It begins by outlining the importance of optimization in NLP, highlighting its role in overcoming challenges such as data sparsity, computational complexity, and semantic ambiguity. The chapter then explores various optimization methodologies including parameter optimization, algorithmic optimization, feature engineering and representation learning, deep learning optimization, and domain-specific ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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