ML7 self study notes

Machine learning is a routine to deal with strength problems

1. HTTP The core of detection task and data mining task

Raw data . For a mission , You should not be responsible for your own part , You should try to be familiar with the whole project process , Top tier architecture , This will make you gain more .

2. The importance of the paper

For a piece of data , Feature extraction is very important . However, feature extraction cannot rely solely on personal enumeration , You can learn from the paper .
Thesis grade ABC,C Generally, it is a master's thesis ;A Class is very valuable and worth learning ; The first paragraph introduces what the paper does , The second section of the general environment ; The third paragraph introduces the currently proposed method , How to do it? , Explain the algorithm in detail ; The fourth experiment proves .
Looking for papers ： Baidu SkyDrive 、 Major network libraries 、 School Intranet VPN.

3. BenchMark summary

Generally, you don't find papers from the HowNet . And don't make a thing from scratch , There must be something that predecessors have done well for reference .
benchmark.MPII It is equivalent to an up-to-date database . There are papers in it , And the source code , There may also be trained models , Then you can use it directly . Take your time benchmark. You can search “ key word +benchmark”