Day 15 of #DataScience28: Neural Networks

Neural networks are a type of machine learning algorithm that are modeled after the human brain. They have revolutionized the field of machine learning, and have become a key tool for solving complex problems in a wide range of domains. At their core, neural networks are a set of algorithms that are designed to recognize patterns. They can learn to recognize patterns in data by analyzing large amounts of information, and then use this knowledge to make predictions or classifications. One of the key features of neural networks is their ability to learn from data. This is accomplished through a process called training, where the algorithm is fed a set of input data and the corresponding output (or label) for that data.