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Summary of the typical content of the machine learning blog

Source: Internet
Author: User
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I browsed some of the machine learning blogs of Daniel and summarized the typical contents as follows:

1. Book Reading Notes

2. Paper Reading Notes and classification survey summary

3. Technical Note and tutorial Reading Notes

4. Summary of typical and difficult problems

5. Study Plan and study records (updated daily)

6. Monthly summary and semester Summary

7. Coursera online course Study Notes

8. Summary of classic learning materials

9. Traveling Abroad meeting records and sense of life

Blogs are important for knowledge learning, technical accumulation, and communication and discussion. They will be updated frequently in the future. It takes too much time to write long texts, or they will be updated quickly and quickly.

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