Machine Learning — Prelims Strategy

Prelims Strategy

For Prelims, a strong conceptual foundation in Machine Learning is paramount. Begin by clearly understanding the definition of ML, its relationship with AI and Deep Learning, and the fundamental differences between Supervised, Unsupervised, and Reinforcement Learning.

Memorize key algorithms associated with each type (e.g., Linear Regression for supervised, K-Means for unsupervised) and their primary use cases. Focus on government initiatives and applications of ML in India, such as its role in Digital India, Ayushman Bharat, PM-KISAN, and smart cities.

Pay close attention to current affairs related to AI/ML policy, ethical guidelines, and significant government projects. Practice MCQs that test your ability to identify the type of ML algorithm suitable for a given problem or to recall specific government programs leveraging ML.

Vyyuha advises creating concise notes on key terms, acronyms, and the core principles of data protection (DPDP Act) as they relate to ML, as these are frequently tested.