Disadvantages of machine learning

The disadvantage of machine learning are as follows-
  • Machine learning has a major challenge called acquisition. Also based on different algorithms data need to be processed. And, it must be processed before providing input to respective algorithms. Thus, it has a significant impact on results to be achieved or obtained.

  • As we have one more term interpretation. That its result is also a major challenge. that need to determine the effectiveness of machine learning algorithms.
  • We can say the uses of machine algorithm is limited. Also, it's not having any surety that ie's algorithms will always work in every case imaginable. As we have seen that in most cases machine learning fails. Thus, it requires some understanding of the problem at hand to apply the right algorithm.
  • Like deep learning algorithms, machine learning also needs a lot of training data. As we can say it might be cumbersome to work with a large amount of data Fortunately, there is a lot of training data for image recognition purposes.
  • One notable limitation of machine learning is its susceptibility to errors. Brynjolfsson and McAfee said that the actual problem with this inevitable fact. That when they do make errors, Diagnosing and correcting them can be difficult. Because it will need going through the underlying complexities. 


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