Because of the epidemic, the second interview was conducted online for about 20 minutes. There are mainly professional basic knowledge, comprehensive ability inspection, oral English and other topics.

Topics of professional basic knowledge: Choose five questions to answer by picking out the questions, and your questions will not be repeated. The scope of investigation involves statistical knowledge, which is deeper and wider than the content of the initial test. Take my chosen topic as an example. There are definitions of normal distribution, absolute error and relative error, binary tree, stochastic process and a forgotten definition.

Comprehensive ability inspection: There will be a simple self-introduction at the beginning, and then the teacher will ask some questions according to the content of self-introduction, all of which are related to the major. Because I mentioned in my resume that my work is biased towards data analysis and I am interested in deep learning, the teacher asked me about the projects I usually analyze, my understanding of deep learning and some knowledge of machine learning, such as K-means clustering and integration model. When introducing the project, I mentioned the concept of relevance, and the teacher also asked me, so we must make full preparations.

Oral English is not a question asked by professional teachers, but a more daily question. I don't want to say more about this, because my performance is too poor ... there are many other experience sharing posts that are also described in detail.

I don't think many people share how employees write resumes. Let me briefly describe my idea of writing about myself. The first part is basic information, including name, current working place and other basic information. The second part is university information, including schools, majors and outstanding aspects during the period. I only said modeling contest, math contest and scholarship. The third part is work experience, which is the focus of my resume. The key point is to summarize the current advantages, and then carry out specific work experience in detail. I emphasize my experience related to machine learning and what abilities I have gained from my good performance at work. The fourth part is the reason why I went to graduate school. The fifth part is the planning of graduate school (I wrote a topic here that I want to do deep learning, and the teacher asked me about my understanding of deep learning). What you wrote in your self-introduction must be very familiar! ! Don't write if you are not familiar with it. If you are asked, you will be deducted. There is also a resume that takes 2-3 minutes.

The second interview is much simpler than the first time, and the teacher is still good. Don't be too nervous. I have shared my preliminary experience before, so how do on-the-job personnel take part-time postgraduate exams in Tongji University?