daily interview
1.0.0
Many websites such as Niuke.com and Zhihu contain millions of interview reviews, but they are often large and scattered. When preparing for the interview, the more time you read, the more you feel that you have not mastered many of your knowledge points, which causes great psychological pressure, resulting in the inability to perform normally in the interview or even failing the interview. In fact, every job seeker should have his own interview notes to record the knowledge points often involved in the written test and the questions often asked in the project. Read it before each interview, learn from one example, integrate it into one example, and be familiar with it, so that you can learn from each interview and finally deal with it calmly. I personally have my own interview notes. I will read them before each interview, thinking while reading, but for good luck.
It does not need to be big and complete, covering all content, because knowledge is constantly updated and iterating, and we cannot cover everything. We do not provide to check for omissions and fill in the gaps, because everyone’s shortcomings are different, and the interviewer needs to think more and improve himself based on his own knowledge system. This is a small interview that every interviewer must read before the interview. Half a day before the interview, review the past and learn the new.
Currently, most members are working on AI algorithms, so they mainly focus on AI algorithms. If anyone interested in development participates in the organization, it is very welcome.
Data structures and algorithms are originally part of the computer foundation, but because they will be asked whether they are interviewing algorithm positions or development positions, they will be asked separately.
Algorithm post: The focus is on AI algorithms, data structures and algorithms; understanding mathematics and computer basics.
Development Position: The focus is on development, data structures and algorithms, and computer foundation.
Taking the interview position as the main line, sort out the interview questions that must be read before the interview, and give high-frequency interview knowledge points and interview questions.
If you like this project as well and want to participate in the Interview project, you can contact us E-mail:[email protected]
Scan the QR code below to follow the official account: Datawhale
This work is licensed under the Creative Commons Attribution-Non-Commercial-Share 4.0 International License.
