Machine learning
It can sometimes be too complicated to spell out a decision-making process. Machine learning tries to "learn" based on a set of past decision-making examples.
Machine learning is used for things like recommendations, predictions, and looking up information.
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Understanding the importance of decision-making
Identifying biases that affect decision-making
Analyzing the potential outcomes of a decision
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3 Categories of Machine Learning
- Supervised learning: It has a set of labelled data to train the model on. In a way, it means supervising a machine by providing a ton of information about a particular case and giving it the case outcome.
- Unsupervised learning:
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Big data
- Big data is a combination of structured and semi-structured data collected by organizations that can be mined for information, machine learning, and predictive modeling.
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