Recent Trends in Machine Learning
Date:
- Delivered a webinar on the current state and emerging trends in machine learning and data science.
- Covered the data science lifecycle, essential tools, and the role of visualization in model interpretability.
- Introduced core ML paradigms — supervised, unsupervised, and reinforcement learning — with practical examples.
- Highlighted career pathways in data science, including industry roles, research tracks, and skill-building strategies.
- Engaged students with a live Q&A session on real-world applications and learning resources.