Machine Learning: A Beginner's Guide
Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. How does machine learning work? Machine learning algorithms work by learning from data. They are trained on a set of data, and then they use that data to make predictions about new data. The more data they are trained on, the better they become at making predictions. What are some common machine learning techniques? There are many different machine learning techniques, but some of the most common include: Supervised learning: This type of machine learning uses labeled data to train the algorithm. Labeled data means that the data has been classified into different categories. For example, if you are training a machine learning algorithm to classify images of cats and dogs, the data would be labeled as "cat"...