人工智能和機器學習之間的差別

In this article we are going to see the difference between two important terms in emerging computer science. We are talking about machine learning and artificial intelligence. Some of you may feel that these two terms are similar, aren’t they ? Not your fault actually these two terms are used interchangeably from time to time. But they aren’t the same and we will see all the differences between them in this article.

在本文中，我們将看到新興計算機科學中兩個重要術語之間的差別。 我們正在談論機器學習和人工智能。 你們中有些人可能會覺得這兩個術語很相似，不是嗎？ 這不是您的錯，實際上這兩個術語有時會互換使用。 但是它們并不相同，我們将在本文中看到它們之間的所有差異。

Artificial Intelligence

word is made up of Artificial and Intelligence, Intelligence is the ability of a human to perform a specific task, so Artificial Intelligence is the field of computer science which work on developing systems which are able to perform work like taks. Artificial Intelligence does not the system to be pre programmed however they are given algorithms which are able to learn on their own intelligence. 

人工智能

一詞由“人工智能”組成，“人工智能”是人類執行特定任務的能力，是以“人工智能”是計算機科學領域，緻力于開發像taks這樣的工作的系統。 人工智能不是要預先程式設計的系統，但是會為它們提供能夠根據自己的智能學習的算法。

Based on the capabilities of performance AI can be classified mainly into 3 types: 

基于性能的能力，AI可以分為以下三種類型：

• Weak AI 弱AI

  • Generally having low intelligence (learning ability)

    通常智力低下(學習能力)

  Weak AI 弱AI
• General AI 通用AI

  • System with medium intelligence which can master only one task.

    具有中等智能的系統，隻能完成一項任務。

  General AI 通用AI
• Strong AI 強大的AI

  • The future of AI

    人工智能的未來

  Strong AI 強大的AI

Based on the functionalities AI can be classified into 4 main types: 

根據功能，AI可以分為4種主要類型：

• Reactive Machine  React機

  • Machine which are just able to react to some actions. E.g. Google’s AlphaGo which can play board games.

    能夠對某些動作做出React的機器。 例如Google的AlphaGo可以玩棋盤遊戲。

  Reactive Machine  React機

• Limited Memory 記憶有限

  • These systems are capable of storing data and then planning strategy accordingly. E.g. Self-Driven cars

    這些系統能夠存儲資料，然後相應地計劃政策。 例如自駕車

  Limited Memory 記憶有限

• Theory of mind 心智論

  • Theses systems will be able to depict human thoughts.

    這些系統将能夠描述人類的思想。

  Theory of mind 心智論

• Self awareness 自我意識

  • Future of AI.

    人工智能的未來。

  Self awareness 自我意識

On the other hand

Machine Learning

is the ability of machines to learn on their own without being explicitly programmed. Machine learning algorithms generally uses previous data and try to generate knowledge based on that data. Machine learning is a

subset

of Artificial Intelligence

另一方面，

機器學習

是指機器無需明确程式設計即可自行

學習

的能力。 機器學習算法通常使用以前的資料，并嘗試基于該資料生成知識。 機器學習是 人工智能 的

子集

which is using techniques which can be learned from past data. Machine learning can be classified into three main categories.

這是使用可以從過去的資料中學到的技術。 機器學習可以分為三大類。

• Supervised learning 監督學習

  • Generating function which maps input to output from known input output pairs.

    生成功能，将輸入映射到已知輸入輸出對中的輸出。

  Supervised learning 監督學習

• Unsupervised learning 無監督學習

  • Generating functions from unlabeled data

    從未标記的資料生成函數

  Unsupervised learning 無監督學習

• Reinforcement learning 強化學習

  • Taking suitable actions to maximize rewards

    采取适當的行動以最大化回報

  Reinforcement learning 強化學習

人工智能和機器學習之間的差別 (Difference between Artificial Intelligence and Machine Learning)

Artificial Intelligence	Machine Learning
Artificial Intelligence is concerned with developing human intelligence into computer systems.	Machine Learning is concerned with extracting knowledge from the data previously available.
Artificial intelligence is about maximizing success.	Machine learning is about maximizing accuracy.
Artificial Intelligent systems are expected to give human like behaviour for various tasks.	Machine learning models are trained for a particular task from the previously available data for the task
AI has wide scope in day to day applications.	Machine learning has comparatively limited scope.
AI learns from reasoning and self-correction.	Machine learning just from self-correction.
Decision making is involved in AI.	Decision making not involved.
E.g. Applications like Siri, Google Assistant are using AI.	E.g. Applications like Google lens (OCR) uses Machine learning.

人工智能	機器學習
人工智能與将人類智能發展到計算機系統有關。	機器學習與從以前可用的資料中提取知識有關。
人工智能是關于最大程度地提高成功。	機器學習是關于使準确性最大化。
人工智能系統有望為各種任務提供類似人的行為。	從任務的先前可用資料中為特定任務訓練機器學習模型
人工智能在日常應用中具有廣泛的應用範圍。	機器學習的範圍相對有限。
人工智能從推理和自我糾正中學習。	機器學習僅來自自我校正。
決策涉及AI。	不參與決策。
例如，Siri，Google Assistant等應用程式正在使用AI。	例如，像Google lens(OCR)這樣的應用程式使用機器學習。

Comment down below if you have any queries related to difference between ai and machine learning.

如果您有關于AI和機器學習之間差異的任何疑問，請在下面注釋。

翻譯自: https://www.thecrazyprogrammer.com/2020/02/difference-between-artificial-intelligence-and-machine-learning.html