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Dr. Neeraj Sharma
Keywords:
Machine learning (ML), Artificial Intelligence (AI), Deep Learning, NLP, GPT
Abstract:
Machine learning (ML) has witnessed unprecedented growth in recent years, revolutionizing various industries by enabling intelligent automation, data-driven decision-making, and predictive modeling. This review paper provides a comprehensive survey of emerging trends and applications in ML, focusing on recent advancements, challenges, and future directions. We explore deep learning, reinforcement learning, transfer learning, and federated learning, highlighting their real-world applications in healthcare, finance, cybersecurity, and other domains. Additionally, we discuss ethical concerns, interpretability issues, and ongoing efforts to make ML more transparent and fair.
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International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XVIII, Issue 1
March 2025
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PUBLISHED
March 2025
ISSUE
Vol. XVIII, Issue 1
SECTION
Articles
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