APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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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: -Overfitting is one of the most common issues faced by Machine Learning engineers and data scientists. Whenever a machine learning model is trained with a huge amount of data, it starts capturing noise and inaccurate data into the training data set. It negatively affects the performance of the model.
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.