Cover Image

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Benji, Pan, Xuanhe, Wen, Yizhu, Bi, Ziqian, Chen, Keyu, Li, Ming, Liu, Ming, Niu, Qian, Liu, Junyu, Wang, Jinlang, Zhang, Sen, Xu, Jiawei, Song, Xinyuan, Jiang, Zekun, Wang, Tianyang, Feng, Pohsun
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns
by: Chen, Keyu, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming
by: Wang, Tianyang, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
by: Chen, Keyu, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
by: Feng, Pohsun, et al.
Published: (2024)

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- AutoML from Basics to State-of-the-Art Techniques
by: Feng, Pohsun, et al.
Published: (2024)

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing
by: Li, Ming, et al.
Published: (2024)

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications
by: Feng, Pohsun, et al.
Published: (2024)

Surveying the MLLM Landscape: A Meta-Review of Current Surveys
by: Li, Ming, et al.
Published: (2024)

Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications
by: Ren, Jintao, et al.
Published: (2024)

Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
by: Chen, Silin, et al.
Published: (2024)

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management
by: Hsieh, Weiche, et al.
Published: (2024)

Deep Learning, Machine Learning -- Digital Signal and Image Processing: From Theory to Application
by: Hsieh, Weiche, et al.
Published: (2024)

Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks
by: Peng, Benji, et al.
Published: (2024)

From Noise to Nuance: Advances in Deep Generative Image Models
by: Peng, Benji, et al.
Published: (2024)

Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
by: Chen, Keyu, et al.
Published: (2024)

Advanced Deep Learning Methods for Protein Structure Prediction and Design
by: Zhang, Yichao, et al.
Published: (2025)

From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing
by: Sun, Xintian, et al.
Published: (2024)

Deep Learning Model Security: Threats and Defenses
by: Wang, Tianyang, et al.
Published: (2024)

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs
by: Hsieh, Weiche, et al.
Published: (2024)

Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
by: Peng, Benji, et al.
Published: (2024)

Generative Adversarial Networks Bridging Art and Machine Intelligence
by: Song, Junhao, et al.
Published: (2025)

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
by: Niu, Qian, et al.
Published: (2024)

Large Language Model Benchmarks in Medical Tasks
by: Yan, Lawrence K. Q., et al.
Published: (2024)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
by: Niu, Qian, et al.
Published: (2024)

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development
by: Wang, Tianyang, et al.
Published: (2024)

From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models
by: Zhang, Charles, et al.
Published: (2024)

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings
by: Wang, Tianyang, et al.
Published: (2025)

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
by: Yang, Junjie, et al.
Published: (2025)

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence
by: Wang, Tianyang, et al.
Published: (2025)

CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
by: Bi, Ziqian, et al.
Published: (2025)

FMCW Radar Principles and Human Activity Recognition Systems: Foundations, Techniques, and Applications
by: Bi, Ziqian, et al.
Published: (2024)

Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement
by: Tseng, Chiung-Yi, et al.
Published: (2025)

AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys
by: Wu, Siyi, et al.
Published: (2025)

A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks
by: Liang, Chia Xin, et al.
Published: (2024)

GACL: Exemplar-Free Generalized Analytic Continual Learning
by: Zhuang, Huiping, et al.
Published: (2024)

ReadyPower: A Reliable, Interpretable, and Handy Architectural Power Model Based on Analytical Framework
by: Zhang, Qijun, et al.
Published: (2025)

Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models
by: Han, Xudong, et al.
Published: (2025)

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations
by: Liu, Junyu, et al.
Published: (2025)

Mixture of Experts in Large Language Models
by: Zhang, Danyang, et al.
Published: (2025)

Analytic Class Incremental Learning for Sound Source Localization with Privacy Protection
by: Qian, Xinyuan, et al.
Published: (2024)