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Colorado Technical University Machine Learning Algorithm Evaluation Paper

Colorado Technical University Machine Learning Algorithm Evaluation Paper

Description

Please complete the following:

Supervised Learning allows you to collect data  from a previous experience such as weather conditions during tornado  season for a particular area. This data collection is valuable as it  contribute to emergency preparedness. Unsupervised Learning can be  further understood by the case of the baby and the family dog. The baby  becomes familiar with the family dog and understands its’ features such  as ears, nose, tail and other attributes. When the baby is introduced to  other dogs, the learning from the family dog applies and allow the baby  to understand that new animal is a dog too.

  • Differentiate between the 3 common Unsupervised Machine Learning  Algorithms (K-means, DBSCAN, and hierarchal). When should they be used?   
  • How are the common types of Supervised Machine Learning Algorithms (decision trees, random forest, neural networks, and Na? Bayes) used today?  
  • What are two common issues that can arise with the use of each? 

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