吴恩达机器学习 Part2
Model representation univariate linear regression
Gradient descent algorithm 梯度下降法 Gradient descent algorithm
learning rate后面的部分是derivative
假如阿尔法太小,梯度就会减缓。假如阿尔法太大,梯度下降可能超过最小值。
Model representation univariate linear regression
Gradient descent algorithm 梯度下降法 Gradient descent algorithm
learning rate后面的部分是derivative
假如阿尔法太小,梯度就会减缓。假如阿尔法太大,梯度下降可能超过最小值。
Machine learning definition
Well-posed learning problem: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
Machine learning algorithms:
Others: Reinforcement learning, recommender systems.
supervised learning
想法是在监督学习中,对于数据集中的每个样本,我们想要算法预测并得到正确答案。
分类问题 classification problem 回归问题 regression problem
unsupervised learning
把大量的数据给到computer 计算机自习学会做某事