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About Machine Learning Assignment
Machine learning involves developing algorithms that can learn from data to make predictions without being explicitly programmed. There are different perspectives like supervised learning where the algorithm learns from labeled training data, unsupervised learning which discovers patterns in unlabeled data, and reinforcement learning where an agent learns through trial and error to maximize rewards. Some issues in machine learning include data quality, overfitting/underfitting, bias and fairness, and lack of interpretability. Machine learning has applications in areas like image recognition, recommendations, fraud detection, healthcare, autonomous vehicles and natural language processing. Designing a machine learning system involves problem definition, data collection/preparation, model selection, training, evaluation, optimization, deployment and continuous improvement through iteration. A well-posed learning problem
Detailed Information
| Author: | ['Akash '] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 55 |
| Language: | English |
| Format: | |
| Price: | FREE |
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