Data science and artificial intelligence (AI) are two buzzwords that have been gaining a lot of attention in the technology world. While both fields deal with processing data, there are distinct differences between them. Data science is an interdisciplinary field that combines various techniques and tools from statistics, computer science, mathematics, and information theory to extract knowledge or insights from structured or unstructured data. It uses a blend of scientific methods, algorithms, processes, systems, and technologies to analyze massive amounts of data. The goal of data science is to find hidden patterns or correlations within the available data by using advanced analytical techniques such as machine learning (ML), natural language processing (NLP), statistical analysis, predictive modeling, etc. A typical data science process involves stages such as problem definition, data collection, data cleaning, data exploration, feature engineering, model building, model evaluation, and deployment.
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