AI courses

2015 Courses

论文一作学者分享大模型前沿研究

论文一作学者分享大模型前沿研究 Discover the forefront of AI advancement by learning about the latest developments in large language models from a lead research author. This Chinese-language academic presentation offers a unique opportunity to acquire deep technical understanding of current research directions, innovative methodological approac.
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机器学习入门

欢迎加入系统、科学且专业的机器学习入门课程。这门课程不仅涵盖传统的机器学习内容,还包括了深度学习的先进知识。您将学习到机器学习和深度学习的基础理论、算法原理及数据处理技巧,并且通过实际案例分析提高自己的实践能力,从而为未来的学习和职业发展奠定坚实基础。 这是一门针对机器学习初学者设计的课程,涵盖广泛的基本知识,适合各专业背景的学生参与学习。无论您的.
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人工智能

人工智能是计算机科学的一门前沿与交叉学科,本课程全面介绍人工智能的基础理论和基本技术。通过本课程的学习,要求学生能够了解人工智能的发展及其研究领域;掌握知识表示的各种方法,基本的问题求解技术以及基本的推理技术;并理解人工神经网络的基本结构和学习方法且能够初步理解专家系统、机器学习、自然语言处理等应用领域的知识。 提供者: XuetangX 类别: 人工智能课.
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从入门到大神:疫情知识智能服务核心技术实践

知识疫图-全球新冠疫情智能驾驶舱,是一个基于知识的全球新冠疫情风险评估和复工辅助决策系统,提供基于知识驱动、全球疫情统计数据和预测模型对世界各地的疫情发展及风险状况进行量化评估和预测(Forecasting); 跟踪(Tracing)最新各方面疫情进展,包括科学研究、政府动态和社会舆论等各方面; 面向地区、机构和个体提供复工复产(Recovering)各方面的辅助决策支持,包括地区.
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滴滴语音技术

Join us for an in-depth exploration of the voice technology powering DiDi's intelligent transportation platform. This technical presentation, delivered in Chinese, delves into the sophisticated development and implementation processes behind speech recognition systems and natural language processing capabilities. Presented by XuetangX, this se.
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走进人工智能(人工智能概论)

走进人工智能(人工智能概论)课程是一门专为高职专科生设计的课程,旨在帮助学习者了解并感知人工智能技术在日常生活中的应用。课程设计理念通过将复杂的技术理论与实际应用场景结合,以便学习者通过生活感知人工智能,并通过视频、图文、讨论等多元化形式激发兴趣。学习者还可以通过作业和考试环节加深理解和巩固学习成果。 课程涵盖七大模块,包括:人工智能的发展历史、.
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智能健康管理

智能健康管理是高等学校健康管理领域人才培养中的一门核心课程,旨在培养学生具有智能健康管理的基本知识以及实践能力。本课程通过课堂教学和课外讨论等环节,授课者从基本概念内涵入手,并结合健康档案数字化平台、可穿戴设备健康数据采集、互联网医院运营平台、养老机器人应用、婴儿体重预测、医学影像智能分析及传染病传播预测等应用场景设计课堂讨论案例。 通过本.
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机器学习与智能金融

在这门课程中,我们将系统地构建智能金融的完整知识框架,兼顾基础概念、基本原理、模型方法、场景特征以及融合方向。同时结合金融行业的需求,详细解析人工智能在金融风控、量化交易、智能投顾等领域的应用案例与代码实践,帮助深入了解技术前景与市场价值。还融入前沿研究与创新成果,为创新提供广阔空间。课程引用的素材仅供教学使用。 《机器学习和智能金融》课程提倡强.
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人工智能导论

人工智能导论 人工智能技术在各行业中扮演着日益重要的角色,通过推动经济和社会的高质量发展,极大地改变着人们的生活方式,包括衣食住行、工作学习以及娱乐休闲。智能设备、无人驾驶、语音助手、推荐系统等新兴产品为我们的日常生活增添了全新的体验。 人工智能的起源可追溯至计算机科学,为解决复杂问题而生。随着技术的演进,人工智能经历了符号主义到深度学习的多个发.
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Artificial intelligence is the ability of a machine to imitate human thinking. This is the name of modern technology with the help of which electronic devices, programs and robots can solve various problems using given algorithms. We tell you where to start studying AI course and why it is needed.

What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!