With the advancement of computer technology, efforts are being made to create intelligent machines that can respond and react like human beings in order to automate processing activities that are usually conducted manually.
Some of these tasks include automation of learning and analyzing massive data, translations between various languages,
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and speech recognition.
Discuss roles of Artificial Intelligence and Machine Learning in Big Data Analytics.
Distinguish between Supervised and Unsupervised learning.
Define the concept of Artificial Intelligence.
Define the concept of Machine Learning.
Explain the notions of Supervised and Unsupervised Machine Learning.
Describe the roles of Artificial Intelligence & Machine Learning in Big Data Analytics.
Artificial intelligence (AI) refers to the capability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. On the other hand, machine learning (ML) is a subset of AI that involves algorithms that allow machines to learn from data and improve their performance without explicit programming. ML is particularly important in big data analytics because it helps to automatically identify patterns and insights in large and complex datasets that are difficult for humans to analyze.
Supervised learning is a type of ML that involves training a machine learning algorithm on a labeled dataset, where the correct answers are provided. The algorithm then learns to predict outcomes…order customized answer
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