Artificial Intelligence 简明教程

Artificial Intelligence Tutorial

本教程提供了有关人工智能的基础知识。如果你准备选修人工智能作为一门课程科目，本教程会对你大有帮助。你可以简要了解 AI 研究正在蓬勃发展的领域。

This artificial intelligence tutorial provides introductory knowledge on Artificial Intelligence. It would be a great help if you are about to select Artificial Intelligence as a course subject. You can briefly learn about the areas of AI in which research is prospering.

本教程很好地讲解了 AI 的工作原理及其应用。本教程对初学者和想要了解更多相关知识的人员来说都是一个不错的选择。

This tutorial provides a good understanding of the workings of AI and its applications. This tutorial would be a good choice for someone who is a beginner and also for someone who would want to know more about it.

What is Artificial Intelligence?

人工智能 (AI) 是计算机科学的一个分支，它创造出像人类一样思考和行动的智能机器。这是一项革命性的技术，让人们着迷，因为它能够与他们的日常生活联系在一起。AI 使机器能够思考、学习和适应，从而增强并自动化各行业的各项任务。

Artificial Intelligence(AI) is that branch of computer science that creates intelligent machines that think and act like humans. It is one of the revolutionizing technologies that people are fascinated by because of its ability to relate to their daily lives. AI enables machines to think, learn and adapt, to enhance and automate tasks across industries.

人工智能有许多子集，侧重于模仿人类的不同方面。 Machine learning 是一个流行的子集，而其他子集包括 Deep Learning 、 Natural Language Processing 和 Robotics 。

Artificial Intelligence has many subsets that focus on different aspects of mimicking human beings. Machine learning is one of the popular subsets, whereas the others included are Deep Learning, Natural Language Processing, and Robotics.

Features of Artificial Intelligence

人工智能作为一种技术，旨在复制人类的智能。它在各个行业都有着广泛的应用，从提升客户体验到疾病诊断。人工智能的一些主要特点包括：

Artificial Intelligence is a technology that aims at replicating human intelligence. It has numerous applications across various sectors, from enhancing customer experiences to disease diagnosis. Some key features of AI are:

  1. Ability to learn − AI systems can improve their performance eventually by learning from data and past experiences.

  2. Logical decision making − AI systems are fed with large amounts of data to understand and recognize patterns for analysis and decision making.

  3. Adaptability − AI systems can adjust and adapt to changes in data.

  4. Efficient automation − AI would efficiently execute repetitive tasks and processes.

  5. Versatility − AI can be widely applied for various tasks across all fields like businesses, automotive, health, and many others.

Why to Learn Artificial Intelligence?

AI 是成长中的技术之一，学习 AI 可以帮助在一个高需求领域建立职业。它创造了各种职业机会，并帮助你紧跟不断发展的技术。它增强了问题解决能力，自动化流程，并且可以应用于各个行业，从商业到医疗保健。

AI is one of the growing technologies, and learning AI would help build a career in a field that is high in demand. It opens up to various job opportunities and helps you stay intent with evolving technologies. It enhances problem solving skills, automates processes and can be applied to various industries, from business to health care.

Who Should Learn Artificial Intelligence?

本教程适用于想学习人工智能的初学者。

This tutorial is prepared for students at the beginner level who aspire to learn Artificial Intelligence.

本课程还适用于希望提升技能的专业人士或试图将 AI 技术与他们的业务相结合的企业家。软件开发、数据科学和工程领域的专业人士会发现本人工智能教程与他们尤为相关，可以帮助他们提升职业生涯。

This course is also helpful for professionals aiming to enhance their skills or an entrepreneur trying to integrate AI with their business. Professionals in software development, data science, and engineering would find this artificial intelligence tutorial especially relevant to enhance their careers.

Applications of Artificial Intelligence

AI 通过自动化、决策和提高各种任务效率的能力转型的各个行业。由于它以多功能性著称，其一些应用领域如下：

AI is transforming various industries with its ability to automate, make decisions, and enhance the efficiency of various tasks. As it is known for its versatility, some of its applications are:

  1. Health care − AI in healthcare is used to assist in tasks like diagnosing diseases, personalizing treatments and drug discovery.

  2. Finance − AI is used for fraud detection, trading and stock market analysis and customer service through chatbots.

  3. Manufacturing and Industries − AI optimizes production processes, improves quality and identifies machinery failure.

  4. Agriculture − AI helps combine technology with agriculture by analyzing soil conditions.

  5. Transportation − AI helps in designing autonomous vehicles. Some other tasks include traffic management and route optimization in maps.

  6. Customer Service − Chatbots and Virtual assistants are AI applications to improve user engagement.

  7. Entertainment and Media − AI helps in content creation, personalized content recommendations, and target advertising.

  8. Safety and Security − AI enhances threat detection and automates security measures.

Jobs and Opportunities

许多公司要求在 AI 方面具有高度技能的个人。当公司在其运营中集成 AI 时，将需要个人来实施它。公司聘用的部分角色有：

Many companies require highly skilled individuals in AI. As companies integrate AI into their operation, there will be a need for individuals to implement it. Some roles that companies hire are:

  1. Machine learning engineer

  2. Data Scientist

  3. AI Research Scientist

  4. Computer Vision Engineer

  5. NLP Engineer

  6. AI Product Manager

  7. AI Marketing Specialist

Prerequisites to Learn Artificial Intelligence

计算机科学的基础知识是强制性的。科学、机械工程或电气工程方面的知识是加分项。

The basic knowledge of Computer Science is mandatory. Knowledge of science, mechanical engineering, or electrical engineering is a plus.

在深入学习人工智能之前，有几个技能和概念需要加以重点关注，包括：

Before deep diving into Artificial Intelligence, there are a few skills and concepts that one should focus on, which includes −

  1. Mathematics and Statistics

  2. Knowledge of any programming language such as Python or R.

  3. Basics on Data Structures and Data Handling Techniques

Getting Started with Artificial Intelligence

开始学习人工智能包括几个步骤，这些步骤有助于构建牢固的基础。以下是能够让你在人工智能基础方面具有出色表现的步骤简要指南：

Getting started to learn AI involves a few steps, which helps build a solid foundation. Here is a brief guide on the steps that can make you strong in the fundamentals of AI:

  1. Master Prerequisites − AI is complex, so you can only get deep into the technology if you have interest and enthusiasm. The first step is to master prerequisites, which include an understanding of basic mathematics and statistics along with learning a programming language and data structures.

  2. *Learn AI algorithms −*Artificial Intelligence is all about algorithms like searching and sorting. So if you get familiar with algorithms, you can ace AI.

  3. *Getting to know AI tools and frameworks −*The final step would be learning to handle AI frameworks. This is a practical step and requires prior theoretical knowledge. Some popular tools and libraries used to develop and deploy AI models are NumPy, Pandas, Matplotlib.

  4. *Practice with Real data −*Practicing AI algorithms on real data that is collected from various websites or APIs would help understand the working of AI in real-time scenarios.

Frequently Asked Questions about Artificial Intelligence

一些关于人工智能的常见问题 (FAQ)，本部分尝试简要回答这些问题。

There are some very Frequently Asked Questions(FAQ) about Artificial Intelligence, this section tries to answer them briefly.

Artificial Intelligence Articles

你可以在 Artificial Intelligence Articles 探索一系列人工智能文章。

You can explore a set of Artificial Intelligence articles at Artificial Intelligence Articles.