Natural Language Processing Made Easy: Follow This Guide!

The research and application of artificial intelligence are becoming increasingly popular, with the six hottest areas being “machine learning, autonomous driving, speech recognition, computer vision, natural language processing, and knowledge reasoning.”

Natural Language Processing (NLP) is the use of computers to process, understand, and utilize human languages (such as Chinese, English, etc.). As a branch of artificial intelligence, it stands at the crossroads of opportunities and challenges.

In the information age, the applications of natural language processing are vast, including: machine translation, handwritten and printed character recognition, speech recognition, and language conversion. NLP will appear in all aspects of life through artificial intelligence; however, it also faces technical challenges. For instance, current search engines primarily rely on keyword matching and lack deep natural language processing and understanding, which is a pressing issue that needs to be addressed.

This coexistence of opportunities and challenges further confirms the limitless development space of natural language processing as a highly interdisciplinary emerging discipline.

Top tech companies in China are almost simultaneously forming teams to compete for natural language processing talent.

Natural Language Processing Made Easy: Follow This Guide!

Natural Language Processing Made Easy: Follow This Guide!

Natural Language Processing Made Easy: Follow This Guide!

Natural Language Processing Made Easy: Follow This Guide!

The high salaries offered for these positions further confirm the shortage of technical talent.

According to a global AI talent survey report released by LinkedIn last year, China has a talent gap of 5 million in artificial intelligence, with a supply-demand ratio of only 1:10, and it is expected that the high salaries for AI positions will continue for a long time. Naturally, natural language processing is not exempt from this talent shortage.

As the saying goes, the first step is always the hardest. If the first task is successful, students can build confidence, find the key, and improve over time. Otherwise, they may become disheartened and even leave the field. Therefore, we suggest learning from experts. Learning from the best, natural language processing is just like cutting vegetables!

“Natural Language Processing: Phase Two”

Natural Language Processing Made Easy: Follow This Guide!

By participating in this learning session, you can master πŸ‘‡πŸ‘‡πŸ‘‡

Natural Language Processing Made Easy: Follow This Guide!

Natural Language Processing Made Easy: Follow This Guide!

Course Start Date: November 8

Mastering the brain of artificial intelligence is the key to unlocking a new world.

πŸ‘‡πŸ‘‡πŸ‘‡Click[Read Original] to learn the detailed outline

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