# Machine-Learning-A-Probabilistic-Perspective-Solutions
## Motivation
Hey there. I am recording the solutions of the exercises of the **fourth printing** of this book in this repository. The only exercises that I do not intend to do in this first run are those which explicit require MATLAB. Any computational exercise will be done in Python using a Jupyter notebook. I will follow a schema where I give a introduction and some insight into the problem, solve it and then make some remarks on the solution. I strongly reccomend the reading of the Intro and Conclusion section of the exercises that you're interested in. I intend to update the solutions in a reasonable pace, starting now (January 2017).
I hope this might help anyone who has an interest in the book and Machine Learning as a whole. If you have any question, want to debate about the book, or think that some solution may be wrong or could be improved, feel free to send me an e-mail at: arthurzc23@gmail.com.
## Updates (20/03/2017)
Hello guys, I am finally back. During my break some people contacted me about the future of the repository and I want to share with all what I've told them. The repository goal is to give a solution manual for the **whole book**. I believe this semester I will finish Chapters 4, 5, 6 and maybe 7. I will try to post the exercises more frequently, but keep in mind that this is not my main priority at the moment.
## New decisions
* As I read the book, I am facing new concepts that were useful to explain questions of previous chapters. However, due to time constraints, I do not intend to update the exercises with those new insights in the near future, save extraordinary cases.
## About the author
I am a brazilian Electrical Engineer graduated at Unicamp, one the most prestigious universities in my country.
I graduated as the best student of my class in 2016, among other honors. Currently, I am a M.S. student on the Electrical Engineering program at the same University, where I intend to use machine learning in agriculture and food/beverage problems.
没有合适的资源?快使用搜索试试~ 我知道了~
Machine-learning课后参考答案
共75个文件
pdf:66个
ipynb:6个
md:2个
5星 · 超过95%的资源 需积分: 50 83 下载量 155 浏览量
2018-11-29
19:08:52
上传
评论 1
收藏 5.52MB RAR 举报
温馨提示
Machine-Learning 参考答案。 Machine-Learning-A-Probabilistic-Perspective-Solutions。
资源推荐
资源详情
资源评论
收起资源包目录
Machine-Learning-A-Probabilistic-Perspective-Solutions-master.rar (75个子文件)
Machine-Learning-A-Probabilistic-Perspective-Solutions-master
5
2.pdf 90KB
4.pdf 61KB
3.pdf 93KB
1.tex 3KB
10.pdf 83KB
5.pdf 81KB
7
2.pdf 71KB
1.pdf 68KB
4.pdf 105KB
3.pdf 84KB
4
2.pdf 74KB
1.pdf 77KB
21.pdf 72KB
18.pdf 94KB
7.pdf 78KB
4.pdf 63KB
9.pdf 93KB
6.pdf 95KB
13.pdf 95KB
3.pdf 80KB
20.pdf 88KB
12.pdf 77KB
4.8.ipynb 115KB
16.pdf 99KB
23.ipynb 6KB
14.pdf 89KB
22.ipynb 81KB
10.pdf 105KB
15.pdf 93KB
5.pdf 100KB
21_a_visualization.ipynb 59KB
17.ipynb 15KB
11.pdf 106KB
11
1.pdf 101KB
2
2.pdf 47KB
1.pdf 58KB
7.pdf 59KB
4.pdf 50KB
9.pdf 77KB
6.pdf 65KB
13.pdf 78KB
3.pdf 63KB
12.pdf 73KB
8.pdf 68KB
16.pdf 94KB
14.pdf 84KB
17.pdf 80KB
10.pdf 72KB
15.pdf 93KB
5.pdf 61KB
11.pdf 76KB
LICENSE.md 220B
README.md 2KB
3
2.pdf 56KB
1.pdf 89KB
21.pdf 70KB
18.pdf 99KB
7.pdf 105KB
4.pdf 84KB
9.pdf 69KB
6.pdf 102KB
13.pdf 90KB
3.pdf 94KB
20.pdf 131KB
12.pdf 89KB
8.pdf 83KB
14.pdf 61KB
22.pdf 67KB
17.pdf 90KB
19.pdf 93KB
10.pdf 101KB
15.pdf 84KB
5.pdf 81KB
3.16.ipynb 62KB
11.pdf 112KB
共 75 条
- 1
资源评论
- 喜欢轻松2019-05-10不是真正的习题解答,可以参考学习!
代我永生
- 粉丝: 0
- 资源: 1
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功