What is Deep Learning?
Deep Learning could be classified as subfield of machine learning involved with algorithms impressed by the structure and performance of the brain referred to as artificial neural networks
Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code. Click on Learn more to know more.
A classifier is any algorithm that sorts data into labeled classes, or categories of information. A simple practical example are spam filters that scan incoming “raw” emails and classify them as either “spam” or “not-spam.” Classifiers are a concrete implementation of pattern recognition in many forms of machine learning.
Facial recognition is the process of identifying or verifying the identity of a person using their face. It captures, analyzes, and compares patterns based on the person's facial details.The face capture process transforms analogue information (a face) into a set of digital information (data) based on the person's facial features.The face match process verifies if two faces belong to the same person