What are the key differences between scikit-learn and TensorFlow?
Comparing scikit-learn and TensorFlow, two popular libraries in machine learning, is like comparing apples and oranges. While both are fruit, they serve different purposes and have their unique flavors. Scikit-learn, a Python-based library, is designed for data mining and data analysis, offering a wide range of simple and efficient tools for machine learning. It is known for its ease of use and clean API. TensorFlow, on the other hand, is a more complex, open-source library developed by the Google Brain team. It is used for numerical computation and large-scale machine learning, with a particular focus on deep learning models.