Supervised Learning | Merits Demerits & Challenges
In the fast changing technology environment, there has been a greater importance of AI and ML. These add to significant automation and advancement in the area of innovation. The major advantage of using this was to improve the business growth and automate the repetitive process. Thus, supervised learning algorithms support executing a goal-oriented task with the labeled data input to provide the desired output.
The basic concept of machine learning has been discussed. Now in detail understanding of the concept is covered for the beginners. Here it addresses the fundamental understanding of the keyword Supervised learning. The workflow that must be followed if these algorithms are selected to solve the problem statement are indicated.
Every algorithm or approach that is used has its own pros and cons. Before starting to work on the algorithm, it is essential to also know the merits and demerits of the algorithm. To proceed with the Supervised learning approach since it is based on labeled data, there are many challenges that can be faced initially. Understanding how to tackle the challenge adds a positive weightage.
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