用于编程的机器学习

ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity Pub Date : 2014-10-20 DOI:10.1145/2660252.2661744

Peter Norvig

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引用次数: 4

摘要

如果你想识别语音或过滤掉垃圾邮件，你可能会编写一个机器学习算法，而不会尝试使用“传统”软件规范和实现来编写整个程序。有许多成功的机器学习解决方案的例子，但是我们是否可以更广泛地将这些技术应用于大多数或所有软件问题，并适用于大多数或所有程序员，从第一次编程课程的新手到经验丰富的专业人员?

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Machine learning for programming

If you want to recognize speech or filter out spam emails, you will probably write a machine learning algorithm and will not try to write the whole program using a "traditional" software specification and implementation. There are many examples of successful machine learning solutions, but can we more broadly apply the techniques to most or all software problems, and for most or all programmers, from the novice in their first programming course to the seasoned professional?

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ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity

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