A recent project in our team was to improve the computing efficiency of a deep-learning-based video classifier. After carefully tuning the models and migrating to Kafka, we successfully reduced the cost by 84%
The first project after I joined this company was to help the team to deliver a document translator project. When I joined, the team already built a MVP version: it worked, but it
When I wrote my dissertation, I used Pandoc to convert my draft in markdown format to the final version in PDF format. Pandoc is an extremely powerful and easy-to-use tool for file conversion,
CRF (Conditional Random Fields) has been a popular supervised learning method before deep learning occurred, and still, it is a easy-to-use and robust machine learning algorithm. We recently used this algorithm to do
With a focus on processing Chinese textual data, we have been using different tools extensively, namely Jieba and Stanford NLP software. Either of them has its own advantages and drawbacks. To balance efficiency
