AI 导读
“符号学习”就是“机器学习”（根据 (x, y) 对示例自动学习函数 x -> y），只不过其基底是符号化的，即你学到的函数是代码式的，而非曲线式的。 该术语与“参数化学习”或“曲线拟合”相对立。 符号学习并不意味着系统回避数字或概率。它意味着其学到的表示是离散的、显式的、简约的、代码式的。
正文
"Symbolic learning" is simply "machine learning" (automatically learn function x -> y given examples of (x, y) pairs), but where the substrate is symbolic, i.e. the functions you learn are code-like, not curve-like.
The term is in opposition to "parametric learning" or "curve-fitting".
Symbolic learning does not mean that the system avoids numbers or probabilities. It means its learned representation are discrete, explicit, parsimonious, code-like.
来源：@fchollet · x.com