机器学习 5 machine learning advice

最新推荐文章于 2025-11-27 14:26:48 发布

最新推荐文章于 2025-11-27 14:26:48 发布 · 78 阅读

文章标签：

#人工智能 #数据结构与算法

本文探讨了在机器学习中通过增加训练实例、减少特征、调整超参数等方法来优化模型性能，包括解决过拟合与欠拟合问题的策略。

1. Bayesian regularization

2. online learning

stochastic gradient descent:随机梯度下降

3. ML advice

a. more training examples => fix high variance
b. Trying a smaller set of features => fixes high variance.
c. Trying a larger set of features => fix high bias.
d. adding email features => fix high bias.
e. run gradient descent for more iterations => fixes the optimization algorithm

f. try Newton's method => fixes the optimization algorithm
g. using a different value for lambda => fixes the optimization objective
h. changing to an SVM is also another way of trying to fix the optimization objective

see more in http://download.youkuaiyun.com/detail/nomad2/3759561