Neural Networks vs Traditional Machine Learning: India’s AI Frontier in 2025
India’s AI market is booming, projected to reach $7.8 billion by 2025, driven by advancements in data science and analytics. The debate of neural networks vs traditional machine learning is at the heart of this revolution, shaping applications from fintech in Mumbai to agriculture in Punjab. Neural networks, inspired by the human brain, and traditional machine learning, rooted in statistical models, offer distinct approaches to solving problems. For Indian students, developers, and businesses, understanding neural networks vs traditional machine learning is key to harnessing AI’s potential in 2025. This guide breaks down their differences and applications, tailored for India’s tech-savvy readers. Understanding the Core Differences Neural networks, a subset of deep learning, use interconnected layers to process complex data, excelling in tasks like image recognition and natural language processing. Traditional machine learning, encompassing algorithms like linear regression or dec...