Home >Technology peripherals >AI >Recommended series of AI textbooks integrating industry and education ‖ Baidu joins forces with Tsinghua Publishing House to help cultivate AI talents
In recent years, the artificial intelligence industry has received widespread attention from all walks of life. According to statistics, there are currently 440 domestic universities offering undergraduate majors in artificial intelligence. At the same time, the "New Generation Artificial Intelligence Development Plan" proposes - "By 2030, make China a major artificial intelligence innovation center in the world."
However, in the context of the rapid development of the artificial intelligence industry, AI talents appear to be "insufficient in blood supply". According to data, China's AI talent gap will reach 10 million in 2025.
As the reserve force for the development of artificial intelligence in our country, college students have always attracted the attention of all walks of life. How to provide higher education in artificial intelligence so that these future "technical believers" have both professional knowledge and practical abilities will become industrial products. An issue of general concern to the academic community.
Books and textbooks are a very important part of the talent training process and the foundation of education. Considering the comprehensive and cross-cutting characteristics of intelligent science and technology such as artificial intelligence, the compilation of teaching materials must be in line with the orientation of talent training. and curriculum requirements, reflecting the interdisciplinary integration, while also emphasizing systematicity, openness and forward-lookingness, and focusing on the combination of theory and practice.
In order to help solve this problem and help college students and more artificial intelligence enthusiasts understand industrial needs, learn industrial knowledge, and deepen industrial development, Baidu and Tsinghua University Press published the first set of industry-education integration in the industry AI series textbook was jointly released at the Baidu create conference by Wu Tian, vice president of Baidu, and Lu Xianhe, executive deputy editor-in-chief and deputy president of Tsinghua University Press.
This series of teaching materials includes three major directions: machine learning, natural language processing, and computer vision. Professor Zhao Qinping, academician of the Chinese Academy of Engineering and Beijing University of Aeronautics and Astronautics, academician of the Chinese Academy of Engineering and Tsinghua University Professor Zhang Yaoxue, academician of the Chinese Academy of Engineering, Professor Zheng Weimin of Tsinghua University, and Dr. 王海峰, chief technology officer of Baidu, jointly wrote the preface and recommended it.
The book uses Baidu's open source deep learning framework Baidu PaddlePaddle (PaddlePaddle), and uses a large number of natural language processing practical cases, supplemented by theoretical knowledge explanations, to help readers get started quickly and understand core knowledge points. And through the operation of real cases from shallow to deep, the relevant knowledge is comprehensively tested in practice.At the same time, this book has both theory and practice. It can be used as a practical teaching material or reference book for senior undergraduates or graduate students in computer, information technology and other related majors in colleges and universities, as well as for those engaged in research in the field of artificial intelligence. A personnel reference, it is a highly practical introductory practical textbook.
It is worth mentioning that this book covers a large number of practical cases from Baidu Feipar platform. As my country's first independently developed, feature-rich, open source and open source industrial-level deep learning platform, Baidu Fei Paddle has gathered 3.7 million developers from all walks of life, created 425,000 AI models, and served a total of 140,000 enterprises and institutions. Covering many application scenarios such as industry, energy, finance, agriculture, medical care, and urban management.
The author has selected a large number of case materials suitable for beginners to learn from Baidu Fei Paddle, hoping to help readers better understand and apply relevant knowledge points through real industry practice, and complete the advancement from theory to practice. Become an applied artificial intelligence talent that truly meets market demand.
To help cultivate AI talents, Baidu is always taking action. As early as 2019, Baidu and Tsinghua University Press published the book "Introduction and Application Practice of Deep Learning". As the first professional book that deeply integrates industry, academia and research, it attracted widespread attention once it was launched and was selected by hundreds of university teachers across the country. , more than a thousand college AI teachers have verified it in practice.
In the future, Baidu will continue to increase investment and promote school-enterprise cooperation and industry-education integration for colleges and universities, provide a full set of teaching resource packages and 100 million yuan in computing power support, co-build curriculum systems with colleges and universities, publish AI teaching materials, and organize college teacher training classes, various AI competitions, etc., comprehensively assisting the construction of an AI talent training system, and cultivating and delivering more than 5 million AI talents.As academician of the Chinese Academy of Engineering and Professor Zheng Weimin of Tsinghua University said:
Bringing technology from the laboratory into reality so that it can truly create value in all walks of life cannot be separated from the courage and wisdom of a group of "technology believers".
We hope that the publication of this textbook can empower all "technical apostles", promote the further development of artificial intelligence discipline construction and talent training in colleges and universities, and assist the construction of China's AI talent education ecosystem; at the same time, we also believe that with the batches of new "technologies" Driven by "believers", in the future we will be able to witness more artificial intelligence from imagination to reality, from the laboratory to hundreds of millions of users.
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