Multiple FeaturesNote: [7:25 - $θ^T$ is a 1 by (n+1) matrix and not an (n+1) by 1 matrix] Linear regression with multiple variables is also known as “multivariate linear regression”. We now intro ...

NoteThis personal note is written after studying the coursera opening course, Machine Learning by Andrew NG . And images, audios of this note all comes from the opening course. Matrices and VectorsMa ...

NoteThis personal note is written after studying the coursera opening course, Machine Learning by Andrew NG . And images, audios of this note all comes from the opening course. Model Representation T ...

Need to know This personal note is written after studying the coursera opening course, Machine Learning by Andrew NG . And images, audios of this note all comes from the opening course. So, the copyri ...

5.1 基本操作在这段视频中，我将教你一种编程语言：Octave语言。你能够用它来非常迅速地实现这门课中我们已经学过的，或者将要学的机器学习算法。 过去我一直尝试用不同的编程语言来教授机器学习，包括C++、Java、Python、Numpy和Octave。我发现当使用像Octave这样的高级语言时，学生能够更快更好地学习并掌握这些算法。事实上，在硅谷，我经常看到进行大规模的机器学习项目的人，通常使 ...

说明：全文摘自Introduction to probability, 2nd Edition 本文讨论条件概率定律的应用，首先引入一个计算事件概率的定理。 The law of total probability设 $A_1, A_2, … , A_n$ 是一组互不相容的事件，它形成样本空间的一个分割（每个试验结果必定使得其中一个事件发生！）。又假定对每个 $i, P(A_i) > 0$ ...