Deep learning is a subset of machine learning that uses algorithms to model high-level abstractions in data. Deep learning is changing data science in several ways:
First, deep learning can be used to automatically extract features from data, making it possible to build models with less human supervision. This is particularly useful for unstructured data such as images and text.
Second, deep learning algorithms are often more accurate than traditional machine learning algorithms, due to their ability to learn complex patterns. This is leading to improved performance on tasks such as image recognition and machine translation.
Finally, deep learning is making it possible to build much more powerful predictive models, by combining multiple learned representations. This is resulting in significant advances in areas such as forecasting and recommender systems.
