理解
The key to understanding cryptography is understanding that it's not just about keeping secrets, but about managing trust.
The development of robust learning algorithms requires a deep understanding of the underlying data distribution.
The challenge in computational learning theory is to understand the capabilities and limitations of learning algorithms.
To understand the future of secure communication, one must first understand the limitations of current cryptographic methods.
The causal model is the key to making sense of the world.
The causal approach is about understanding the mechanisms that generate the data.
The causal revolution is not just about AI; it's about rethinking how we understand the world.
The future of AI lies in understanding causality, not just correlation.
To understand is to know what causes what.
If you think you understand quantum mechanics, you don't understand quantum mechanics.
The goal of software engineering is to create systems that are reliable, efficient, and easy to understand and modify.
Understanding the fundamentals is key to mastering any complex system.
Understanding the history of computing is crucial for innovating its future.
The key to success in computer science is not just about writing code, but understanding the underlying principles and theories that make it work.
The challenge in model checking is not just to find errors, but to understand why they occur.
In computer science, we often have to deal with systems that are too complex to understand all at once.
Mathematics is not about numbers, equations, computations, or algorithms: it is about understanding.
In mathematics, you don't understand things. You just get used to them.
The best programs are written so that computing machines can perform them quickly and so that human beings can understand them clearly. A programmer is ideally an essayist who works with traditional aesthetic and literary forms as well as mathematical concepts, to communicate the way that an algorithm works and to convince a reader that the results will be correct.
The best programs are written so that computing machines can perform them quickly and so that human beings can understand them clearly. A programmer is ideally an essayist who works with traditional aesthetic and literary forms as well as mathematical concepts, to communicate the way that an algorithm works and to convince a reader that the results will be correct.