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Machine Learning

The TAG group’s vision encompasses a future where machine learning stands as a potent catalyst, propelling transformative advancements across diverse domains. Their goal is to ensure accessibility and applicability in a multitude of industries and societal challenges. Central to this vision is the development of cutting-edge algorithms and models. These innovations not only showcase state-of-the-art performance but also embody a profound comprehension of the fundamental principles of learning. The TAG group aims to bridge the gap between technological progress and practical solutions. Their commitment lies in crafting algorithms and models that are not just at the forefront of their field but also grounded in a deep knowledge of the mechanics of learning. By achieving this, they pave the way for a future where the potential of machine learning is harnessed to address real-world issues, making it an invaluable resource across industries and societal landscapes.

Keywords

  • Machine Learning Advancements
  • Interpretability
  • Algorithmic Innovation
  • Transformative Solutions
  • Real-world Applications
  • Interdisciplinary Collaboration

 

Team

Dr. Manju B. R.

Dr. Manju B. R.

Team Lead

Lasitha A.

Lasitha A.

Assistant Professor

Anju Asokan

Anju Asokan

Assistant Professor

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