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[CourserHub.com] Coursera - Machine Learning Algorithms in the Real World Specialization |
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10 Clustering and Dimensionality Reduction/1. Handling Noisy Data in SVMs.mp4 |
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10 Clustering and Dimensionality Reduction/2. Generalization Bounds for SVMs.mp4 |
74.5 MB |
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09_Week_Nine-_Support_Vector_Machines/08_Handling_Noisy_Data_in_SVMs.mp4 |
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09_Week_Nine-_Support_Vector_Machines/09_Generalization_Bounds_for_SVMs.mp4 |
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[ WebToolTip.com ] Udemy - AI - ML Foundations for Absolute Beginners (AgenticAI + MLOps) |
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annas_archive_data__aacid__upload_files_shuge__20240510T045926Z--20240510T045927Z |
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aacid__duxiu_files__20241205T045300Z__cXuRSVMsBcpkHBdjNSoUqH |
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Consistency and Convergence Rates of One-Class SVMs and Related Algorithms.pdf |
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[FreeCourseSite.com] Udemy - Machine Learning and Data Science Hands-on with Python and R |
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12. Machine Learning with R/70. Gaussian RBF Kernal and OCR with SVMs.mp4 |
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12. Machine Learning with R/70. Gaussian RBF Kernal and OCR with SVMs.vtt |
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12. Machine Learning with R/71. Examples of Gaussian RBF Kernal and OCR with SVMs.mp4 |
80.7 MB |
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12. Machine Learning with R/71. Examples of Gaussian RBF Kernal and OCR with SVMs.vtt |
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Maximum-Gain Working Set Selection for SVMs (Special Topic on Machine Learning and Optimization).pdf |
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02. Model Complexity, Overfitting And Underfitting/02_03-Kernel SVMs InDepth.mp4 |
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[FreeCourseSite.com] Udemy - Machine Learning and Data Science Hands-on with Python and R |
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A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs.pdf |
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