AI courses

2449 Courses

AI TIME PHD AAAI专场六

Discover the forefront of artificial intelligence by joining the AI TIME PHD AAAI专场六. This Chinese-language conference presents an opportunity to delve into the latest advancements in AI with comprehensive discussions and research presentations led by top experts in the field. Ideal for anyone interested in artificial intelligence, machine.
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AI TIME PHD AAAI专场七

Immerse yourself in the forefront of artificial intelligence by attending the AI TIME PHD AAAI专场七, a compelling talk presented in Chinese. Delve into the revolutionary research and developments showcased at the AAAI (Association for the Advancement of Artificial Intelligence) conference, with a focus on transformative insights and technol.
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人工智能教育应用

人工智能被视为继蒸汽机、电力、互联网之后最有可能带来新的产业革命浪潮的技术,而教育领域则是人工智能技术影响最为深刻的领域之一。无论你是在校学生还是一线教师,只要对人工智能和教育感兴趣,都可以来学习这门课程。这门课程将介绍人工智能的核心技术与教育创新应用场景,帮助你深刻认识人工智能对教育体系的变革与推动作用,以及未来人工智能在教育领域的发展趋势.
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人工智能方法与技术

本课程系统、深入地介绍人工智能的理论方法、领域应用和前沿技术,主要内容包括:知识表示与因果推理、语言文本分析、集成学习及大数据分类与预测、智能推荐新技术、社交媒体的图模型计算与传播机制、博弈论与智能决策方法、复杂系统网络建模与控制决策等。注重对智能媒体计算相关的语言文本、智能推荐、互联网传播等场景下的实战应用分析。 适合于研究生或高年级本.
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数据科学导论

新技术如云计算、大数据、物联网和人工智能彻底改变了我们对数据的理解,带来了许多新问题,而这些问题在传统理论中尚无解决方案。每个领域现在已发展出许多新的学科如农业大数据、工业大数据等,从学科角度探讨大数据的挑战和解决方案。因此,我们亟需更新我们的知识结构。 课程介绍数据科学的基本概念、理论,并展示其应用和发展前景。学生将掌握获取、处理、管理、分析和.
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人工智能

本课程的特色包括: 注重人工智能核心技术体系的构建,讲解全面完整,涵盖多个核心技术途径,如机器学习和神经网络等。 从“认识你自己”角度出发,将内容有机结合为一个整体,便于系统理解和掌握。 培养解决实际问题的思路,通过案例示例展示基本思路。 注重人工智能思维模式的建构,强调技术与非技术的区别。 注重技术创新思维的培养和建构。 本课程自2008年起.
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金融法:金融科技与人工智能法

课程背景 在数字经济的背景下,金融科技如日中天,成为深化金融供给侧结构性改革的重要引擎。人工智能技术迅速迭代,与金融行业紧密结合,带来创新的同时也伴随不确定性风险。本课程从金融法律的视角出发,探讨金融科技与人工智能的融合发展及其规制策略,帮助学生把握金融与科技变革的趋势。 课程目标 学习金融科技与人工智能的基本概念和动态,紧跟技术趋势。 提升法.
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智能证券投资

在海量信息日新月异的今天,人工智能与证券投资的时代已经到来。想了解人工智能在证券投资的最新发展吗?想知道你的投资业绩的原因所在吗?想让计算机工具或者机器人帮助你提高理性投资的效率吗?本课程聚焦在智能证券投资的科学方法和实用技术,尽可能突出三个特色: 1. 理论新颖:提出智能证券投资的目标为提高人理性投资效率,给出了个性投资自动化和自动投资个性化的两.
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工业互联网

1. 课程所属学科专业 《工业互联网》属于交叉学科课程,涵盖多个专业领域:0802 机械工程, 0804 仪器科学与技术, 0808 电气工程, 0809 电子科学与技术, 0810 信息与通信工程, 0811 控制科学与工程, 0812 计算机科学与技术, 0822 轻工技术与工程, 0835 软件工程, 0837 安全科学与工程, 0839 网络空间安全, 0854 电子信息, 0855 机械, 1201管理科学与工程, 1205 信息资源.
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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!