{
"item_title" : "Research Advances in Machine Learning",
"item_author" : [" Youness Manzali", "Faiq Gmira", "Mohamed Elfar "],
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Research Advances in Machine Learning
Overview
This advanced research book introduces well-designed improvements to major machine learning algorithms, including decision trees, KNN, random forests, and clustering methods. The book focuses on reducing model complexity while improving accuracy, robustness, and execution time through novel pruning, feature weighting, and ensemble strategies. The proposed approaches are experimentally validated on well-known real-world datasets, demonstrating their effectiveness and strong practical relevance.
This item is Non-Returnable
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Details
- ISBN-13: 9786209379475
- ISBN-10: 6209379478
- Publisher: Noor Publishing
- Publish Date: December 2025
- Dimensions: 9 x 6 x 0.37 inches
- Shipping Weight: 0.49 pounds
- Page Count: 160
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