When you train your machine to learn, we have to give it a statistically significant random...
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When you train your machine to learn, we have to give it a statistically significant random sample as training data. If the training set is not random, we run into the risk of machine learning the patterns which doesn't exist. Also if the training set is too small, the machine will not learn enough and may even reach inaccurate conclusions. Investigate the given example and identify the type of learning. A. Unsupervised learning B. Protocol learning C. Data Learning D. Supervised learning When you train your machine to learn, we have to give it a statistically significant random sample as training data. If the training set is not random, we run into the risk of machine learning the patterns which doesn't exist. Also if the training set is too small, the machine will not learn enough and may even reach inaccurate conclusions. Investigate the given example and identify the type of learning. A. Unsupervised learning B. Protocol learning C. Data Learning D. Supervised learning
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D Supervised learning Explanation In supervised learning the machi... View the full answer
Related Book For
Horngrens Financial and Managerial Accounting
ISBN: 978-0133866292
5th edition
Authors: Tracie L. Nobles, Brenda L. Mattison, Ella Mae Matsumura
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