Introduction to Data Science Today, our task is to watch a discipline that covers topics related to the advancement of laboratory practice, practical courses, and lecture materials. It involves acquiring knowledge and skills for graduates in various organizational aspects related to data analysis.
Evolution of Information Technology The field has evolved from agencies like Rosstat using mathematics and statistics to the emergence of artificial intelligence (AI) with information technology. This allowed solving optimization problems by integrating ready-made solutions into business development.
Components of Artificial Intelligence Artificial intelligence encompasses machine learning, deep learning, data science methods along with statistical theory and probability analysis. These components are used for practical problem-solving within disciplinary systems requiring mathematical expertise.
Machine Learning Development 'Machine Learning' was introduced in 1936 as a tool for extracting knowledge from models trained on different types of data - supervised or unsupervised - leading up to advanced techniques such as deep learning when traditional approaches fail.
Data Analysis Discipline The main goal is analyzing large datasets through visualization tools while formulating hypotheses based on statistically processed information. The focus lies in providing visual representations suitable for decision-making processes.