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How important is machine learning when it comes to Data Science?
Machine learning is a foundational component of data science and is crucial for extracting insights and making predictions from large datasets. Here's why machine learning is important in the field of data science:

Pattern Recognition: Machine learning algorithms can identify patterns and relationships within data that may not be immediately apparent to humans. This ability is particularly valuable when dealing with large, complex datasets.

Predictive Analytics: Machine learning models can be trained to make predictions b

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How does AI work?
In particular, AI systems accept data inputs in the form of text, images, speech, etc., and then the data may be processed by applying various rules and algorithms, predicting and acting on the input data. Upon this processing, the systems provide an outcome, success or failure, for the data input. Then the result is that the system uses its assessments to adjust input data, rules, algorithms, and target outcomes.
Goals of AI:
These algorithms are insufficient for solving large reasoning problems step-by-step. Knowledge representation planning and decision-making allow