Autumn trick becomes summer recruit, not ready? Datawhale team members offer harvester lead, led by 14 members of the last two months, put together a machine learning algorithm engineer job by plane: Daily-interview. A small but beautiful face was recruited to help you prepare for the autumn, the summer comes, offer be far behind?
Gold, three silver and four internship job search season is over, do not know the opposite side of the screen you have not received the offer favorite it? If you are offer to get soft chiefs, do not slack off, let the good life become a habit in the long-distance race. But if thwarted at every turn in the job, and the company missed your favorite, do not frown all day, you need to analyze the reasons for the failure, finishing mood, a new start.
Autumn trick soon to be coming! Your armor ready?
What is the armor
Some people will ask, what job interview armor is it? Xiao Bian think it should be a part of his face was.
Customer network includes cattle, and many other sites to know almost the millions of faces through, but often large and scattered, in preparation for the interview the interviewer time to read not only a waste of time to read the material, the more feel a lot of knowledge They have not mastered, causing great psychological pressure, resulting interview can not play the normal level or even blow it. This is a reason and on the eve of college entrance examination, the teacher will tell you: Back to Basics, do not do puzzles. Back to basics for maintaining the status quo, then the problem is not psychological game.
That comes back to basics, everyone's approach is different. Some people will pick up the books, the basic theoretical concepts in the book all over again, not targeted, there is no focus. This time we need to look at is how we learn tyrants do, and learn tyrants will pick up his notebook, above all error-prone key and difficult point, it is summed up for their own learning, which is why every year the champion of notebook price to sell one of the reasons for it.
In fact, if you are a bit off, it should have its own copy of the interview notes, recording problems often related to job search and knowledge to do their own projects often asked. Every time read through before the interview, so that by analogy, mastery, Shunian in the heart, can only gain experience in each interview, and finally calmly. I personally have my own interview notes, before each interview will turn again, watched and thought, but for good luck.
But if not previously aware of the problem and it does not matter, Datawhale presents a small but beautiful face through for you. You first need to understand is: This is not a large and coverage through all the content, because knowledge is continually updated iteration, can not cover all. While not providing leak filled, because everyone's short board is different, the interviewer needs according to their own knowledge, think more, their own sound. This is a before each interview the interviewer will go over a small surface by, spend half a day before the interview, Reviewing the Old. If you can be supplemented with amendments according to their actual situation, it can be described as even more powerful, armor upgrade.
Armor appeared
Then take a look at this armor by what constitutes it? That this should be how to use it by plane?
Face is divided by the contents of jobs including machine learning algorithm engineer, engineers image processing algorithms, natural language processing algorithm engineers three jobs, currently only updated the interview guide machine learning algorithm engineers, but small job of image processing and natural language processing partners can also serve as a reference.
Machine learning algorithm engineers face by contains: ML, coding, Big Data, Logic & probability, cs subjects and DL six parts, covering computer science foundation, logical thinking, probability theory, big data, data structures, machine learning and depth knowledge learning, is definitely worth learning a plane through it.
01 Machine Learning
This section describes the machine learning algorithms frequently asked content, contains the following number of commonly used algorithm. Each sub-module was introduced after the addition of the basic idea of the algorithm Ten Questions and interview Zhenti links.
To Adaboost, for example, introduces the basics of integrated learning
Then for the problem Adaboost often summed up: Algorithms Ten Questions
Finally, the interview Zhenti, Zhenti about the interview, I would suggest that you question your own interview experience to join in, to form their own face through the booklet
02 Coding
This test is often part of the data structures and algorithms are introduced.
For a breakdown of each link, given ten classic reference topic to learn, learn to help understand. To sort example, summed up fast row, row heap, merge sort, merge sort multi-channel, single-chain insertion sort classic title with a single list of merge sort for them to learn, all point the interview often occur, and did not talk much you know what I mean.
03 Big Data
This section contains mapreduce, Technology and questions three parts, introduces the techniques and methods of processing huge amounts of data, and finally gives the same interview that often appear in the classic title for your reference.
04 Logic & probability
This section contains two aspects of the subject and the logical probability problems. This part of the interview is often related to the subject, and this subject has no skills, can only follow the logic a little bit of analysis, the study is the most basic logical thinking, doing this kind of topic can only sink calm air, slowly analysis but also pay attention to the time of the control.
05 CS Subject
This section contains some basic computer knowledge, involving knowledge, processes and threads terms of operating systems, computer networks and databases, specifically what is the difference Http and Https and so content, intentions spotted three times, to help you calmly interview officer inadvertently raised a small problem!
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06 Deep Learning
This part is about the depth of learning content, the content is still part of the update improvement, we can start learning content front and small series and look forward to the follow-up to improve the content of it.
Get armor
GitHub Address:
https://github.com/datawhalechina/Daily-interview
Click to read the original surface can also browse through the content directly, do not forget the star, concerned about the subsequent updates ah. In addition to accept this surface by using a guide, the back to bring you an exciting good news, for this wrap-up of the face by the content, we are preparing to team up learning it, lead everyone to prepare for the autumn trick!
Finally, I hope every effort to have the harvest. Upcoming autumn trick, you ready?
List of contributors:
Overall responsibility for: xiaoran
Supervision & Reviewed by: Lv Xuejie, Kang Bingbing, Cheng Zhichao, xiaoran, curry
Participants: Li Qifeng, Cheng Yu Chun, Summer, salsa, Herd person, ZDou, the mountain Qian, Li Yue, Yvette obviously it
Thanks to the efforts made over the junior partner to the face by ~ good you are also welcome, make a contribution to the open source content.