Deep Learning vs. Machine Learning – Know the Difference
Explore the evolving landscape of Deep Learning vs Machine Learning, where traditional machine learning uses algorithms and statistical models, while deep learning leverages neural networks inspired by the human brain. Machine learning excels in structured data tasks like regression and classification, offering faster training and clearer interpretability. Deep learning, in contrast, thrives on unstructured data—images, audio, and complex patterns—by automatically extracting features through multiple neural network layers. As a result, deep learning empowers breakthroughs in computer vision, natural language processing, and speech recognition. Understanding the distinction between these approaches is essential for AI-driven projects and informed decision-making in modern technology.