As one of the most typical fields in AI, NLP has become increasingly popular in recent years, essentially becoming a must-have for major companies.
With the emergence of technologies such as OpenAI and the successful application of transfer learning, NLP technology has been continuously developing and growing in fields such as search, recommendation, information flow, internet finance, and social networks. Meanwhile, NLP engineers have also received widespread attention and acclaim, as seen in the soaring salaries for relevant positions on various recruitment platforms.
The main reason is that the application prospects of NLP are very broad. It has been increasingly applied in various industries such as e-commerce, translation, finance, smart hardware, and healthcare.
From a technical perspective, before the advent of deep transfer learning (e.g., the emergence of the BERT model), the most direct way to improve the accuracy of NLP-related tasks was to increase the labeled samples. However, with the emergence of deep transfer learning models, it is now possible to achieve relatively satisfactory accuracy with just a small number of samples, which has further promoted the application of NLP.
Nevertheless, due to the inherent complexity of natural language, it still cannot achieve the same level of accuracy as facial recognition in general. Moreover, NLP involves a wide range of fields and develops rapidly, with many newly proposed methods lacking strong reproducibility. Most people can only use some open-source frameworks simply, and when it comes to solving more complex NLP tasks, they become helpless.
The field of NLP is developing very rapidly, and much knowledge is constantly being updated and iterated. Therefore, the methods of learning it are particularly important. I recommend the video course “NLP Practical Skills Course” from Geek Time, which I am also studying. This course will help you master efficient techniques for mining tabular data, learn solutions for classic NLP tasks, and gain a complete set of practical experience from development to deployment through several practical cases, enhancing your NLP practical skills in all aspects. Recently, it is on a 50% discount for a limited time, with 160 lectures available for only ¥99. This is a rare opportunity, so seize the time to get on board.
The author is Wang Ran, the technical leader of Zhongwei Technology AI LAB, with dual master’s degrees in mathematics and econometrics from the University of Amsterdam, and is also a big shot in the industry.
Previously, he served as the technical leader of the Cognitive Intelligence Laboratory at Baifendian Information Technology Co., Ltd., mainly responsible for the algorithm part. He led the team to develop a human-computer dialogue robot and a document proofreading system, achieving cutting-edge levels in both accuracy and recall rate in the industry. He has also been responsible for over 20 other technical projects. In his spare time, he is often active in competitions and research organized by Microsoft Research Asia and DeepMind, achieving good results.
How does Wang Ran teach this course?
In the course, Wang Ran combines his practical experience to summarize a set of practical methodologies that help you deeply understand NLP. Overall, this course has the following characteristics:
-
All techniques in the course can be implemented in engineering practice or competitions, and the methods can not only greatly improve accuracy but also ensure stability.
-
In terms of material selection, it introduces some “black technologies” that are rarely seen in papers, as well as promising research directions.
-
It will not only explain typical methods in NLP but also introduce general ideas and methods from other fields of artificial intelligence.
-
Through 3 major practical cases, it will deeply explain various technologies in NLP and combine them with other fields of artificial intelligence.
The content is divided into three major modules, totaling 160 lectures.
I have also put the directory here👇
I have extracted some student evaluations for you to check:
“Those who walk a hundred miles are only halfway there,” learning the column is just half the journey; you must practice one by one to truly understand, be able to use, and use well. If you plan to get hands-on or are studying NLP, this course is undoubtedly an excellent choice for your advancement.
Limited time 50% discount flash sale + code ‘NLPNLP520’
Final price ¥99, save ¥100
Exclusive price for new users ¥68
👇 Scan the QR code below for a free trial
👇 Click ‘Read the original text’ to get the 50% discount price and acquire the 160-lecture practical NLP expert course. It’s worth a look.