What is the difference between Machine Learning and Deep Learning?

1. 1Read articles on Machine Learning to understand its basics
2. 2Explore Deep Learning frameworks like TensorFlow or PyTorch to learn about their applications
3. 3Compare the performance of Machine Learning and Deep Learning models on a dataset
4. 4Build a simple Machine Learning model using scikit-learn to see its limitations
5. 5Run a Deep Learning model on a complex dataset to appreciate its capabilities

Data scientists and AI engineers can benefit from understanding the distinction between Machine Learning and Deep Learning to choose the right approach for their projects

💡 Deep Learning is a subset of Machine Learning that uses neural networks to achieve state-of-the-art performance in complex tasks

🤖 Machine Learning vs Deep Learning: know the difference to build better AI models