数学在机器学习研究中不断变化的角色
分析
这篇文章讨论了数学在机器学习中不断变化的重要性，将数学驱动的研究与计算密集型方法进行了对比。它暗示了该领域重点的转变。
引用 / 来源
查看原文"Research involving carefully designed and mathematically principled architectures result in only marginal improvements while compute-intensive and engineering-first efforts that scale to ever larger training sets"