Data science vs. machine learning: What’s the difference?
Data Science is a comprehensive field dedicated to extracting meaningful insights from data, while Machine Learning is a specialized subset of Artificial Intelligence (AI) that focuses on developing algorithms and systems capable of learning from data to make predictions or decisions. Data Science encompasses a wide array of activities, including data cleaning, visualization, and in-depth analysis, whereas Machine Learning specifically targets the creation of models that improve their performance over time as they are exposed to more data.