


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.
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.
The above is the detailed content of Recommended series of AI textbooks integrating industry and education ‖ Baidu joins forces with Tsinghua Publishing House to help cultivate AI talents. For more information, please follow other related articles on the PHP Chinese website!

Running large language models at home with ease: LM Studio User Guide In recent years, advances in software and hardware have made it possible to run large language models (LLMs) on personal computers. LM Studio is an excellent tool to make this process easy and convenient. This article will dive into how to run LLM locally using LM Studio, covering key steps, potential challenges, and the benefits of having LLM locally. Whether you are a tech enthusiast or are curious about the latest AI technologies, this guide will provide valuable insights and practical tips. Let's get started! Overview Understand the basic requirements for running LLM locally. Set up LM Studi on your computer

Guy Peri is McCormick’s Chief Information and Digital Officer. Though only seven months into his role, Peri is rapidly advancing a comprehensive transformation of the company’s digital capabilities. His career-long focus on data and analytics informs

Introduction Artificial intelligence (AI) is evolving to understand not just words, but also emotions, responding with a human touch. This sophisticated interaction is crucial in the rapidly advancing field of AI and natural language processing. Th

Introduction In today's data-centric world, leveraging advanced AI technologies is crucial for businesses seeking a competitive edge and enhanced efficiency. A range of powerful tools empowers data scientists, analysts, and developers to build, depl

This week's AI landscape exploded with groundbreaking releases from industry giants like OpenAI, Mistral AI, NVIDIA, DeepSeek, and Hugging Face. These new models promise increased power, affordability, and accessibility, fueled by advancements in tr

But the company’s Android app, which offers not only search capabilities but also acts as an AI assistant, is riddled with a host of security issues that could expose its users to data theft, account takeovers and impersonation attacks from malicious

You can look at what’s happening in conferences and at trade shows. You can ask engineers what they’re doing, or consult with a CEO. Everywhere you look, things are changing at breakneck speed. Engineers, and Non-Engineers What’s the difference be

Simulate Rocket Launches with RocketPy: A Comprehensive Guide This article guides you through simulating high-power rocket launches using RocketPy, a powerful Python library. We'll cover everything from defining rocket components to analyzing simula


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver Mac version
Visual web development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 Mac version
God-level code editing software (SublimeText3)