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关于关键的名人名言哲理格言警句语录 - 每日文摘
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The key to efficient computation is not just speed, but elegance.
The key to innovation is not just to think outside the box, but to realize that the box itself is an illusion.
In distributed systems, the key challenge is achieving consensus among unreliable components.
The quantum Fourier transform is the key to the exponential speedup in Shor's algorithm.
"A key insight in computational learning theory is that the complexity of a learning problem is determined by the complexity of the hypothesis space and the amount of data available."
The key to success is to focus on the fundamentals and execute them flawlessly.
The key to solving complex problems is often to find the right abstraction that simplifies the problem without losing its essential features.
The key to solving complex problems is breaking them down into simpler ones.
The key to success in research is to focus on fundamental problems that have long-term impact.
"The key to innovation in computer science is not just technical skill, but creative thinking."
"The key to successful verification is to start with a clear and precise specification of what the system is supposed to do."
"The key to success in bioinformatics is the integration of diverse data types and the development of algorithms that can handle the complexity of biological systems."
The key to performance is elegance, not battalions of special cases.
The key to understanding life is to understand the interactions between its components.
The key to performance is elegance, not battalions of special cases.
The key to successful data management is understanding the data. If you don't understand your data, you can't manage it effectively.
I never looked at the consequences of missing a big shot... when you think about the consequences you always think of a negative result.
The key to success is failure.
In the realm of computational learning, the key is not just to learn, but to learn efficiently.
The key to innovation is not just in creating new technologies, but in understanding how to apply them to solve real-world problems.