COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Machine Learning & Neural Networks
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Machine Learning & Deep Learning
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Deep Learning & Neural Networks
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None of the above
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Detailed explanation-1: -To be technically correct-AIML stands for Artificial Intelligence Modelling Language (an extensible XML-based mark-up language). AI is a superset of Machine Learning (ML), which itself is superset of deep learning. Deep learning is ML that uses neural networks.
Detailed explanation-2: -Machine learning is a subset of artificial intelligence and a superset of deep learning. Artificial intelligence has evolved to create machine learning. Neural networks are used in deep learning for data representation. Also, big data is prevalent here and consists of millions of data points.
Detailed explanation-3: -Deep learning is a subset of machine learning. It still involves letting the machine learn from data, but it marks an important milestone in AI’s evolution. Deep learning was developed based on our understanding of neural networks.
Detailed explanation-4: -Is Machine Learning an intersection of Data Science and Artificial Intelligence? The figure below visualizes the relationship between Data Science, AI, and, Machine Learning. Clearly, you can see that neither ML nor AI is a subset of Data Science, and Data Science is a subset of neither of these.
Detailed explanation-5: -Deep learning is a subset of machine learning, which is a subset of AI.