目标
If you don't fail at least 90 percent of the time, you're not aiming high enough.
The ultimate aim of artificial intelligence is to make computers do things that would require intelligence if done by humans.
In the realm of algorithms, efficiency is not just a goal; it is a necessity.
The ultimate goal of machine learning is to make computers learn from experience and improve their performance over time.
The goal of software architecture is to minimize the amount of knowledge you need to have in order to build a system.
The ultimate goal of machine learning is to make machines that can learn from experience and improve their performance over time.
The ultimate goal of artificial intelligence is to create machines that can perform tasks that would require intelligence if done by humans.
In the end, the goal of computer science is not just to build faster machines, but to deepen our understanding of the universe.
The ultimate goal of machine learning is to make machines that can learn from experience and improve their performance over time.
The goal of software engineering is to produce reliable, maintainable, and efficient software systems.
If you don't fail at least 90 percent of the time, you're not aiming high enough.
The ultimate goal of artificial intelligence is to create machines that can perform tasks that would require intelligence if done by humans.
The goal of software engineering is to control complexity, not to create it.
The Internet is a global resource that should be managed in the public interest.
If you don't fail at least 90 percent of the time, you're not aiming high enough.
"The ultimate goal of AI is to create machines that can think, learn, and adapt like humans."
"The goal of AI should be to augment human intelligence, not replace it."
The goal of computer architecture is to make the common case fast and the rare case correct.
The goal of cryptography is to make it so that the cost of breaking the system exceeds the value of the information protected.
The ultimate goal of machine learning is to make computers learn from experience and improve their performance on tasks over time.