Applying machine learning algorithms
Machine learning algorithms are central to data science and artificial intelligence. They use mathematical models and statistical techniques to train computers to learn from data and make predictions or perform informal actions. Machine learning algorithms enable you to extract insights and patterns from large, complex datasets and inform decisions, automatically processing and improving predictive capabilities. Let us examine and discuss some commonly used algorithms.
Machine learning algorithms can be classified into three categories: supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning algorithms learn from labeled training data, where each data point is associated with a corresponding goal or outcome. These algorithms aim to generalize from the training data and make predictions about unseen data. Commonly used supervised learning algorithms include linear regression, decision trees, support vector...
