People experienced in machine learning can be composed of data scientists, machine learning engineers, and artificial intelligence experts. They are individuals who have a strong foundation in mathematics, statistics, and computer science. They have a deep understanding of algorithms and techniques used for building and training machine learning models, such as supervised and unsupervised learning, deep learning, and reinforcement learning. They are knowledgeable about programming languages commonly used for machine learning, such as Python, R, and Julia. These individuals have extensive experience in collecting and preprocessing data, as well as selecting the appropriate machine learning algorithms for a given problem. They have a strong ability to evaluate the performance of models and are proficient in using data visualization tools to communicate the results of their work. They are able to collaborate with teams of software engineers, product managers, and business stakeholders to develop and deploy machine learning solutions in real-world applications. In short, a group of people experienced in machine learning are experts who have the technical skills and knowledge to apply machine learning techniques to solve complex problems and bring value to organizations through the development of innovative and effective solutions.