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Please select the correct answer. 請選出正確答案。1. Which of the following is NOT a major sub-field of AI?以下哪樣不是人工智能的主要子領域?Deep Learning 深度學習Supervised Learning 監督學習Machine Learning 機器學習Electronic Learning 電子學習2. Which of the following statements is a correct description about strong AI and weak AI?以下哪個對強人工智能和弱人工智能的描述是正確的?Weak AI is a theoretical concept that does not yet exist. 弱人工智能至今仍屬理論性概念,現時並未在世上實現。Weak AI emulates human behaviours and understands the meaning of actions. 弱人工智能模擬人類的行為表現,並能理解動作本身的意義。The chess-playing computer program AlphaGo belongs to strong AI. 下棋電腦程式AlphaGo屬於強人工智能。Strong AI possesses self-consciousness and displays affective responses similar to those of human beings. 強人工智能擁有人類的自我意識和情感。3. Which of the following is true?以下哪一個説法正確?Only ‘feature’ is necessary in unsupervised learning. 非監督式學習只需用到「特徵」。Only ‘label’ is necessary in unsupervised learning. 非監督式學習只需用到「標籤」。Whether ‘feature’ and ‘label’ are necessary in unsupervised learning depends on different contexts and situations. 進行非監督式學習時,用到「標籤」和「特徵」與否取決於不同情況和背景。Both ‘label’ and ‘feature’ are necessary in unsupervised learning. 非監督式學習需用到「標籤」和「特徵」。4. Which of the following is true?以下哪一個説法正確?‘Deep Learning’ is a subfield of ‘Machine Learning’. 「深度學習」涵蓋於「機器學習」當中。‘Machine Learning’ is also known as ‘Deep Learning’. 「機器學習」是「深度學習」的另一種叫法。There is no relation among ‘AI’, ‘Machine Learning’ and ‘Deep Learning’.「人工智能」、「機器學習」和「深度學習」是三種沒有關係的概念。‘Machine Learning’ is a subfield of ‘Deep Learning’. 「機器學習」涵蓋於「深度學習」當中。

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Please select the correct answer. 請選出正確答案。1. Which of the following is NOT a major sub-field of AI?以下哪樣不是人工智能的主要子領域?Deep Learning 深度學習Supervised Learning 監督學習Machine Learning 機器學習Electronic Learning 電子學習2. Which of the following statements is a correct description about strong AI and weak AI?以下哪個對強人工智能和弱人工智能的描述是正確的?Weak AI is a theoretical concept that does not yet exist. 弱人工智能至今仍屬理論性概念,現時並未在世上實現。Weak AI emulates human behaviours and understands the meaning of actions. 弱人工智能模擬人類的行為表現,並能理解動作本身的意義。The chess-playing computer program AlphaGo belongs to strong AI. 下棋電腦程式AlphaGo屬於強人工智能。Strong AI possesses self-consciousness and displays affective responses similar to those of human beings. 強人工智能擁有人類的自我意識和情感。3. Which of the following is true?以下哪一個説法正確?Only ‘feature’ is necessary in unsupervised learning. 非監督式學習只需用到「特徵」。Only ‘label’ is necessary in unsupervised learning. 非監督式學習只需用到「標籤」。Whether ‘feature’ and ‘label’ are necessary in unsupervised learning depends on different contexts and situations. 進行非監督式學習時,用到「標籤」和「特徵」與否取決於不同情況和背景。Both ‘label’ and ‘feature’ are necessary in unsupervised learning. 非監督式學習需用到「標籤」和「特徵」。4. Which of the following is true?以下哪一個説法正確?‘Deep Learning’ is a subfield of ‘Machine Learning’. 「深度學習」涵蓋於「機器學習」當中。‘Machine Learning’ is also known as ‘Deep Learning’. 「機器學習」是「深度學習」的另一種叫法。There is no relation among ‘AI’, ‘Machine Learning’ and ‘Deep Learning’.「人工智能」、「機器學習」和「深度學習」是三種沒有關係的概念。‘Machine Learning’ is a subfield of ‘Deep Learning’. 「機器學習」涵蓋於「深度學習」當中。

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Solution

  1. 電子學習
  2. 強人工智能擁有人類的自我意識和情感。
  3. 非監督式學習只需用到「特徵」。
  4. 「深度學習」涵蓋於「機器學習」當中。

Similar Questions

Please select the correct answer. 請選出正確答案。1. Which of the following is NOT a major sub-field of AI?以下哪樣不是人工智能的主要子領域?

4. Which of the following is true?以下哪一個説法正確?‘Deep Learning’ is a subfield of ‘Machine Learning’. 「深度學習」涵蓋於「機器學習」當中。‘Machine Learning’ is also known as ‘Deep Learning’. 「機器學習」是「深度學習」的另一種叫法。There is no relation among ‘AI’, ‘Machine Learning’ and ‘Deep Learning’.「人工智能」、「機器學習」和「深度學習」是三種沒有關係的概念。‘Machine Learning’ is a subfield of ‘Deep Learning’. 「機器學習」涵蓋於「深度學習」當中。

以下哪個對強人工智能和弱人工智能的描述是正確的?Weak AI is a theoretical concept that does not yet exist. 弱人工智能至今仍屬理論性概念,現時並未在世上實現。Weak AI emulates human behaviours and understands the meaning of actions. 弱人工智能模擬人類的行為表現,並能理解動作本身的意義。The chess-playing computer program AlphaGo belongs to strong AI. 下棋電腦程式AlphaGo屬於強人工智能。Strong AI possesses self-consciousness and displays affective responses similar to those of human beings. 強人工智能擁有人類的自我意識和情感。

6. Which of the following is true?以下哪一個説法正確?The inferred results generated by Machine Learning are always correct. 機器學習推斷出的結果總是正確的。Machine Leaning is able to infer an absolutely correct result in some situations, while in some other situations, it can only provide probabilities of different possible options. 機器學習在某些情況下能夠作出絕對正確的推斷,某些情況卻只能計算不同選項的機率。Machine Learning is not able to make inference and provide probabilities of different possible options. 機器學習既無法作出推斷,也無法給出不同可能選項的機率。The inferred results generated by Machine Learning are usually accompanied with probabilities, which indicate the confidence of the inference. 機器學習除了提供推斷結果之外,通常還會附上該推斷結果發生的機率。這個機率表示對該推斷結果的信心。

Which of the following is not a technology constitutes artificial intelligence?下列哪項不是組成人工智能的技術? The fifth generation communications / 第五代通信技術 Big data technology / 大數據 Cloud computing  / 雲計算 Artificial learning / 人工學習

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