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AI courses

2015 Courses

California Institute of Technology XuetangX

后人类时代的全球影像

本课程强调专题性、深度性、专业性、批判性、前沿性等五方面的特征，采用小班授课，希望能够令学生在充分的研讨、交流、质疑和辩论中培养对于“后人类”时代文化、伦理、政治、经济等社会议题的思考，培养批判性思维能力。与此同时，在对包括实践作品、上机实验、学术论文等多样化作业的点评和讨论过程中，迅速提升学生的动手能力，锻炼学生的艺术创造力，并强化学生的学术能.
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California Institute of Technology XuetangX

机器人的主动感知与行为学习

了解机器人主动感知与行为学习，探索机器人如何主动感知其环境并通过学习机制获得新行为的中文讲座。研究关键概念，如机器人感知、感觉处理和行为适应，同时了解使机器人能够智能互动和通过基于经验的学习发展日益复杂能力的基本原理。
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California Institute of Technology XuetangX

人工智能的发展对人力资源管理的挑战

于9月17日，学堂在线特别邀请同济大学经济与管理学院的教授与博士生导师闫淑敏，为大家带来一场题为《人工智能的发展对人力资源管理的挑战》的讲座。这次讲座旨在帮助参与者深入理解人工智能在未来人力资源管理中所扮演的角色，以及它所带来的各类机遇与挑战。 讲座由学堂在线提供，涵盖多个课程类别，如人工智能课程、数字化转型课程、商业战略课程、劳动力发展课程、管理.
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California Institute of Technology XuetangX

Python语言程序设计

计算机不只是运算工具，更是创新平台。高效利用计算机需要简洁实用的编程语言。Python是当今最流行的跨平台语言之一，拥有简单易学、免费开源、可移植、跨平台、面向对象、可扩展等特点。Python适用于Web开发、科学计算、人工智能、桌面开发、软件开发、网络爬虫等领域。 随着大数据和人工智能需求的增长，Python备受瞩目，被誉为数据和AI的专用语言。掌握Python对适应信.
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California Institute of Technology XuetangX

数据与智能技术应用

在数据成为新型生产要素的崭新时代，数据就像新时代的石油一样是重要的、驱动社会的动力和能源。如何让数据真正的为千行万业赋能，这是时代的需求和呼唼。一说到大数据和智能技术，很多非IT类专业出身的学习者往往感到“需要了解，可是太过高深”“零基础的小白，无处下手”。然而，在实际应用中，让专业的人做专业的事是关键。在各行业数智转型的时候，单靠IT出身的专业人士.
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California Institute of Technology XuetangX

大学计算机基础

1. 注重思维和能力的培养：课程以培养学生的思维和应用能力为目标，以计算思维为切入点，以问题求解为目的，锻炼学生利用计算机的基础理论和工具分析问题、解决问题的能力。 2. 问题导入模式：以问题导入的方式开启各章的内容讲解。采用二维动画和故事性的叙事方式，引出该章所涉及的知识点，并明确该部分内容在利用计算思维求解问题过程中的作用。 3. 知识结构重组：课.
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California Institute of Technology XuetangX

金融科技模式与创新

本课程提供对金融科技领域最新模式和创新技术的深入理解，涵盖区块链技术、人工智能在金融服务中的应用、数字支付系统及大数据分析等前沿话题。学生通过案例分析，实现理论与实践结合，掌握金融科技的实际应用和发展趋势。非常适合对金融科技有兴趣的学生，助力在领域内取得突破和发展。 开课平台：XuetangX 分类：人工智能课程, 机器学习课程, 大数据课程, 金融科技课程,.
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California Institute of Technology XuetangX

趣味可拓创新思维训练

人工智能技术的飞速发展正在快速改变着学习与工作的生活方式。在这个数智化时代，单纯掌握知识已经远远不够，更为重要的是知识的创新应用能力。创意无价，生成创意解决难题正成为社会急需的核心能力。灵感虽然珍贵，面对各种复杂难题，你是愿意用30年时间沉淀经验，还是用2天时间顿悟其奥秘？ 基于中国原创学科可拓学设计研发的这门创新思维训练课程，将集合论、哲学、人工.
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California Institute of Technology XuetangX

数字经济创新创业

Institution: XuetangX Categories: Artificial Intelligence Courses Fintech Courses Generative AI Courses Cybersecurity Courses Entrepreneurship Courses Blockchain Development Courses Data Analytics Courses Digital Economy Courses
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California Institute of Technology XuetangX

数字医疗概论

国家高度重视医疗信息化人才的培养。《数字医疗概论》课程为学生提供全面了解医疗信息化建设的机会，是医学信息工程专业的核心课程。课程内容涵盖数字化医疗软件、硬件、标准、人员素养、信息技术、基础设施、安全等八个部分。 通过这门课程，学生将了解到数字化医疗领域的应用现状以及相关技术和方法，系统反映数字医疗的特点。课程还引入计算机前沿技术，并探讨数字医疗.
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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!