COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It hacks our computer
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It accepts data and trains itself, then creates a model
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It hacks our brain
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None of the above
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Detailed explanation-1: -AI adapts through progressive learning algorithms to let the data do the programming. AI finds structure and regularities in data so that algorithms can acquire skills. Just as an algorithm can teach itself to play chess, it can teach itself what product to recommend next online.
Detailed explanation-2: -It learns from itself as more data is fed to it, like machine learning algorithms. However, deep learning algorithms function differently when it comes to gathering information from data. Similar to unsupervised machine learning algorithms, neural networks create a hidden structure in the data given to them.
Detailed explanation-3: -Broadly, AI has moved from software that relies on many programmed rules (also known as Good Old-Fashioned AI, or GOFAI) to systems that learn through trial and error. Machine learning has taken off thanks to powerful computers, big data, and advances in algorithms called neural networks.
Detailed explanation-4: -AI models can be built using supervised machine learning. These models are trained by people, often ones with specific subject matter expertise, typically referred to as subject matter experts or SMEs. SMEs review new data points and label them.