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performable    
a. 可执行的,可完成的

可执行的,可完成的

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  • Machine Learning Vs. Artificial Intelligence - GeeksforGeeks
    AI is a broader concept, aiming to simulate human intelligence in machines ML is a subset of AI, focusing on creating algorithms that allow machines to learn from data AI can include rule-based systems while ML relies on statistical methods and patterns in data
  • AI vs. Machine Learning: How Do They Differ? | Google Cloud
    While artificial intelligence encompasses the idea of a machine that can mimic human intelligence, machine learning does not Machine learning aims to teach a machine how to perform a specific
  • AI vs. Machine Learning vs. Deep Learning vs. Neural Networks | IBM
    While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences
  • What Are the Differences Between Machine Learning and AI?
    Most AI is performed using machine learning, so the two terms are often used synonymously, but AI actually refers to the general concept of creating human-like cognition using computer software and systems, while ML is only one method of doing so
  • What’s the Difference Between AI and Machine Learning?
    Machine learning (ML) is a narrowly focused branch of artificial intelligence (AI) But both of these fields go beyond basic automation and programming to generate outputs based on complex data analysis
  • The Difference Between AI and Machine Learning
    By Edem Gold Artificial Intelligence and Machine Learning are two terms that are commonly used interchangeably But they are not the same thing Artificial Intelligence is a field which contains a lot of sub-fields, including Machine Learning In thi
  • Artificial Intelligence (AI) vs. Machine Learning
    Artificial intelligence (AI) and machine learning are often used interchangeably, but machine learning is a subset of the broader category of AI
  • The Real Difference Between AI and Machine Learning Explained Simply
    People call it “AI,” or Artificial Intelligence But lurking within that term is another name that’s thrown around almost as often: “Machine Learning ” These two concepts are often used interchangeably, tangled like wires in the back of a computer you’ve never opened And yet, they are not the same
  • Is AI and machine learning the same? - clrn. org
    While often used synonymously, AI and Machine Learning represent distinct but interwoven concepts AI embodies the overarching goal of creating intelligent machines, while Machine Learning provides the algorithmic tools to achieve that goal through data-driven learning
  • AI vs Machine Learning: Whats the Difference? - 365 Data Science
    AI is a broad field aimed at creating intelligent machines, while ML is a specific approach within AI that enables systems to learn from data Understanding these differences is crucial for anyone interested in or working with these technologies, as they continue to shape our future





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