I always had the idea of writing an annual summary in the past two years, but after seeing others’ annual summary, I found that this year had passed, so I didn’t bother to write it. With the last month of 2018 still to come, I would like to talk about my main experiences this year from the following three aspects.

1. About Learning

The main direction of study is natural language processing, which is specifically carried out by writing blogs, doing projects and playing competitions.

  • Write an article

I used to build a blog with Hexo and write some articles. Then I switched to Simple books, and I have written about 100,000 words up to now, mainly recording the learning of natural language processing and machine learning. There are but few articles about other categories.

  • Github

Personally, I always think the Contributions Wall is excellent, which basically records the track of my hands-on practice. For example, during the period of looking for an internship in 2017, I would brush one Leetcode every day. In order to get familiar with mainstream machine learning and deep learning frameworks, such as Keras and TensorFlow, I started to do some projects by myself. At the beginning, I started to imitate, but when I saw new data sets, I had my own ideas. There is a project that I stick to for the longest time, which is basically the process of learning Python by myself. In the process of solving problems, I will look up whatever is used. There are about 100 notebooks in total. quincy-python

  • competition

In your spare time, find contests for yourself and your classmates on contest sites like Tianchi, DataCastle, DF, Kaggle. And bosses have great gap, basically in the second gradient, one is the introduction to night, the second is under the bosses do kung fu, in the condition of known framework basic mature, spell is the characteristics of the project, the most impressive one is in a god ce glass, in front of the bosses had a 100 features, test is not only a skill and patience. Below is the website I organized, I basically found some about NLP and accumulated the data set at the same time. I was pleased to receive the third prize in mathematical modeling last month.

Ii. Internship Experience

1. Internship in Natural Language Processing at Sohu Changyou

Since May 2018, I have had an internship for 4 months, mainly responsible for the research of question answering system and intelligent QA. I have learned a lot of natural language-related knowledge here, such as text classification, keyword extraction, text summary, semantic similarity judgment, knowledge-based question answering system, NLU and so on. Meanwhile, I have also found shortcomings, and the more I learn, the more I feel insignificant. I also appreciate Mentor’s encouragement, guidance and tolerance. The most impressive place is that the three people often eat together, sometimes go out to buy lottery tickets (although they know they won’t win the prize, haha), and there is often a flea market where the company holds activities and sells things downstairs. I found a lot of things, such as 450 three hammer mobile phones.

2. Beijing netease – Algorithm internship

Since September 2018, I am now responsible for text classification and extraction of commercial labels. The food in the pig farm is quite good. Here, I quickly integrated into the team. The leader and Mentor were very Nice, and the atmosphere in the group was harmonious. I am looking forward to learning something about data mining, such as Hadoop, Spark, scala.

Iii. About Life

  • I’ve seen some movies

The most impressive works in China are silent Crack, Elephant Sitting on the Ground, Blind Well and Village Drama. Foreign films include Happy Azaro, Isle of Dogs, Burning Love, Invisible Guests, etc

  • Like taking photos