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About Machine Learning and Financial Applications
Machine learning and artificial intelligence are increasingly being applied to solve business problems. Machine learning involves detecting patterns in large data sets through algorithms that learn without being explicitly programmed. There are three main types of machine learning: supervised learning which uses labeled examples to learn relationships and make predictions, unsupervised learning which explores unlabeled data to find hidden patterns, and reinforcement learning which learns through trial-and-error interactions with its environment. Supervised learning algorithms like linear regression, logistic regression, decision trees, and support vector machines are commonly used for classification and prediction tasks in applications such as customer churn prediction, fraud detection, and demand forecasting.
Detailed Information
| Author: | ['Vivek Singh'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 29 |
| Language: | English |
| Format: | |
| Price: | FREE |
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