Artificial Intelligence (AI) and Machine Learning (ML) are reshaping industries by enabling data-driven innovation and automation. At the core of successful AI/ML projects are powerful frameworks like TensorFlow, PyTorch, and Scikit-learn, which provide the tools to build scalable and efficient solutions. Whether you're exploring deep learning, traditional machine learning, or cloud-based deployments, understanding these frameworks is crucial to selecting the right one for your needs. This article dives into the strengths, features, and best use cases of the top AI/ML frameworks, guiding you toward smarter, more effective development choices.