What is the difference between machine learning and deep learning?

Machine learning and deep learning are both subsets of artificial intelligence (AI) that involve training computer systems to learn from and make decisions or predictions based on data. The main difference between the two lies in the complexity and structure of the algorithms used. Machine learning focuses on creating models that can make predictions or decisions by learning from data, typically using simpler algorithms such as linear regression or decision trees. On the other hand, deep learning is a subfield of machine learning that utilizes artificial neural networks with multiple layers of interconnected nodes. These deep neural networks can automatically extract high-level features from raw data, allowing for more complex and accurate predictions. Deep learning is often considered more powerful and capable of handling tasks that require a deeper level of understanding, such as image and speech recognition, while machine learning can be more efficient for simpler tasks.

This mind map was published on 28 August 2023 and has been viewed 113 times.