Data Science & AI

Data science involves the extraction, analysis, and interpretation of large and complex data sets using statistical and machine learning techniques. Data scientists use these techniques to identify patterns, trends, and insights from data, and to develop predictive models and algorithms that can be used to solve complex business problems.
Artificial intelligence, on the other hand, involves the creation of intelligent machines that can perform tasks that normally require human intelligence. AI systems can be trained to recognize patterns, learn from data, and make predictions and decisions based on that data. Some common examples of AI applications include natural language processing, computer vision, and machine learning.
Data science and AI are often used in tandem to solve complex business problems. Usually data scientists use machine learning algorithms to analyze large data sets and identify patterns and trends. AI systems can then be trained to recognize these patterns and make predictions based on that data.

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