AI courses

2910 Courses

神经网络理论及应用

Course Objective Since the mid-1980s, artificial neural networks have rapidly evolved into a forefront research field in information technology. This parallel information processing system significantly impacts fields such as computer science, AI, cognitive science, neuroscience, information science, automatic control, and robotics. The course "N.
course image

大数据与机器智能

在这门课程中,您将掌握Python编程技能并进行机器智能的实验。通过深入学习机器学习的基本原理,您将完成机器智能的课程项目。参与Scikit-learn、TensorFlow2和Keras2技术的实践,体验计算机视觉和语音识别等人工智能应用。 此外,课程帮助您理解人工智能产业的发展方向和生态系统。您将熟悉各种技术工具及应用,拓展人工智能领域的视野,培养利用人工智能技术进行创新和.
course image

商务大数据基础与实务

本课程是实现高校人才培养目标的专业课程,旨在通过教学使学生对大数据技术有基本的认识和了解。在教学内容组织上,每一个知识点都以理论+案例形式形成工作任务,由学生围绕工作任务寻求大数据相关理论知识支撑,训练其分析问题、解决问题的能力,培养其职业能力。 课程分为七个部分,包括走进大数据、大数据与云计算、物联网、人工智能、大数据采集与清洗、数据存储和处.
course image

是我们创造了算法,还是算法控制着我们?

"我们对你生活的影响比你想象的要大,我们会告诉你家在哪,你在学校的位置,决定你是否能得到贷款去买你梦寐以求的车,告诉你公交车什么时候会来,你该认识哪些朋友,甚至是男朋友或女朋友……我们叫算法,而且我们无处不在。" ——《算法:如何主导人类世界》 这门课程由XuetangX提供,涵盖人工智能、机器学习、道德、隐私和算法的核心内容。
course image

电子政务

Experience the transformative power of next-generation information technology with our e-Governance course. As digital advancements redefine lifestyles and governance methods, we delve into the evolution from traditional management to digital governance, exploring the leap from automation to artificial intelligence. How can we effectively integ.
course image

高级工程造价管理

工程造价管理课程深入探讨工程建设项目的造价构成、计价原理及全寿命期造价管理。近年来,数字化和智能化技术推动了建筑行业的变革,造价管理融合了BIM、大数据、人工智能及区块链技术,形成了新的管理模式。 课程以工程造价管理基础知识为依托,聚焦行业热点和前沿。着眼于数字化、市场化、国际化、产业化和绿色低碳发展趋势。本课程涵盖六个主要部分:工程造价管理概.
course image

大数据与智能管理

本课程是MEM专业硕士的一项核心课程,专注于如何通过大数据与智能管理技术为企业管理实践中的数据要素赋能。课程内容兼具高水平的理论和解决复杂工程实践问题的实际应用能力,适合希望提升数字化管理能力的学习者。 提供者: XuetangX 课程类别: 人工智能课程, 大数据课程, 数字化转型课程, 预测分析课程, 数据挖掘课程, 文本挖掘课程, 数据建模课程, 决策支持系统课程, 分.
course image

管理信息系统-大数据赋能与模式创新

课程教学设计 本课程的教学设计系统且完备,围绕“用好系统”和“造好系统”两个核心主题,分为十章,回答了管理信息系统的“是什么”(第1、2章)、“技术基础是什么”(第3-5章)、“有什么用”(第6章)、及“怎么用”(第9-10章)等问题。从管理和业务人员的视角,探讨如何建设系统(第7-8章),引入了管理信息系统与区块链、元宇宙的结合以及算法在数据洞察中的应用等新颖观点和技.
course image

人工智能基础

本课程专为电气信息类专业本科生设计,重点介绍人工智能的前沿技术及其应用基础。课程内容覆盖广泛,通过系统的知识讲解和丰富的研究案例,学生将拓宽视野,增进科学素养,并优化知识结构。结合最新的人工智能技术讨论,配以视频资料和文献,激发学生对各研究领域的兴趣,提高学习热情,掌握创新方法,培养将理论与实际相结合的能力,以及问题解决能力。与类似课程相比,本课程.
course image

人工智能基础

本课程全面介绍了人工智能的基础原理,涵盖四大方面:搜索与问题求解、知识与推理、学习与发现以及具体应用领域。搜索与问题求解涉及问题解决的基本原理、策略与图搜索以及博弈;知识与推理涵盖谓词逻辑、归结原理与确定性推理;学习与发现部分涉及机器学习知识,包括分类、回归和聚类算法;深度学习入门涉及图像识别、卷积神经网络、自然语言处理及循环神经网络。 通过本课程.
course image

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!