Machine learning approaches
MACHINE LEARNING APPROACHES: Machine learning: Machine learning is the study of computer algorithms that uses the data and provide the analyzed results. Machine learning algorithms would build a data model which uses the dataset called trained data. These datasets have been trained based on the algorithms that we need. Machine learning is used in many fields such as medicine, aerospace technology, government-related works, email filtering, speech recognition, etc., Machine learning approaches are categorized into various types like Supervised learning Unsupervised learning Semi-supervised learning Reinforcement learning In this blog, we will see about supervised learning and unsupervised learning. Supervised learning: Supervised learning can be defined easily by its use of labeled data. This way of approach is used for building a mathematical model which takes input and gives predicted output. This approach is usually used to build the model for predictions and class...