Deep learning is transforming multiple industries. A type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge, deep learning is an important element of data science, which includes statistics and predictive modeling. ZD Net brought this information to our attention in their article, “Rebooting AI: Deep learning, meet knowledge graphs.”
It is extremely beneficial to data scientists who are tasked with collecting, analyzing and interpreting large amounts of data. By using machine learning and deep learning techniques, you can build computer systems and applications that do tasks that are commonly associated with human intelligence. These tasks include image recognition, speech recognition and language translation.
Because of the artificial neural network structure, deep learning excels at identifying patterns in unstructured data such as images, sound, video and text. This learning technique is a groundbreaking tool for processing large quantities of data, since the performance of the machine improves as it analyzes more data.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
