EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Not enough data to perform machine learning processes.
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Lack of data science skills or data scientists.
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No need for the big analytics processing power in machine learning programs.
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None of the above
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Detailed explanation-1: -What is one common obstacle faced by businesses looking to use machine learning tools? Not enough data to perform machine learning processes. Lack of data science skills or data scientists. No need for the big analytics processing power in machine learning programs.
Detailed explanation-2: -1) Lack Of Quality Data This often leads to less accuracy in classification and low-quality results. It is noted as one of the most common errors faced in terms of data. Incorrect or incomplete information can also lead to faulty programming through Machine Learning.
Detailed explanation-3: -Here are the main challenges that enterprises face when implementing AI/ML: Determining the right data set. Data security and storage. AI integration into existing systems.
Detailed explanation-4: -#1: Lack of training data. In general, machine learning models need training data–information and examples representing exactly what you want them to do for your company. #2: Poor quality of data. #3: Data overfitting. #4: Dat underfitting. #5: Irrelevant features.