AI Essentials: Introduction to Artificial Intelligence

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课程名称:AI基础知识:人工智能简介 概述:欢迎参加由MTF管理、技术与金融学院提供的人工智能技术简介课程。本课程由位于葡萄牙里斯本的MTF学院提供,专注于商业与管理、科学与技术、银行与金融等领域的混合(校园和在线)教育。MTF的研发中心致力于在人工智能、机器学习、大数据、区块链、金融科技等领域的研究活动。MTF与IBM、英特尔、微软等公司合作,是葡萄牙商会的成员,现已在208个国家开展业务,服务超过38万名学生。 课程主持人:穆罕默德·埃尔法特(Mohamed Elfateh),在信息技术领域工作超过十年,对现代科技充满兴趣,并愿意与他人分享自己的知识。 课程内容: 1. 人工智能的定义:AI是计算机科学的一个领域,研究如何创造能够处理信息、做出决策并执行特定任务的机器。 2. 人工智能的历史:现代人工智能的历史可以追溯到计算机早期阶段,1956年达特茅斯大学的会议奠定了AI领域的基础。 3. 跨学科合作:制造自主驾驶车辆需要AI研究人员、汽车工程师和计算机视觉研究人员等不同领域的合作。 4. 机器学习的介绍:机器学习是人工智能的一个分支,使计算机能够在没有明确编程的情况下从数据中学习。 5. 机器学习的应用:该技术广泛应用于电子邮件过滤、社交媒体个性化、图像和语音识别、金融欺诈检测等多个领域。 6. 神经网络与深度学习:神经网络是受人脑结构启发的机器学习算法,深度学习利用多层神经网络处理复杂模式,在图像识别、语音识别等任务上取得显著成果。 通过本课程,学员将能够理解人工智能的基本概念、历史背景及其在现代科技中的应用,适合对AI感兴趣的学习者。

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Welcome to course: AI Essentials: A Simple Introduction to Artificial Intelligence Technologies by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R & D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 208 countries and has been chosen by more than 380,000 students.Hello everyone, and welcome to our course in Artificial Intelligence (AI)! My name is Mohamed Elfateh, I have been working in the Information Technology field for over a decade. I am interested in learning about modern technologies and sharing my knowledge with others.What is AI?AI is a field of computer science that studies how to create machines that can process information, make decisions, and perform specific tasks.The History of modern AIThe field of artificial intelligence (AI) has a long and rich history, dating back to the early days of computing. However, the field as we know it today was founded in 1956 at a conference at Dartmouth College in New Hampshire. This conference brought together the leading researchers in AI at the time, including Alan Turing, John McCarthy, and Marvin Minsky. The conference is credited with helping to define the field of AI and to set the agenda for future research.Artificial Intelligence "AI" is a complex field that needs the ability of people from diverse disciplines to work together. As an example, manufacturing autonomous vehicles like self-driving cars requires the work of people from different fields, such as AI Researchers, Automotive Engineers, and Computer Vision Researchers.AI Researchers develop algorithms that enable self-driving cars to perceive their surroundings, make decisions, and control their movements. Automotive Engineers develop the hardware and software systems that are needed to implement these algorithms, and Computer Vision Researchers develop new techniques for enabling self-driving cars to see and understand the world.What is Machine Learning?Machine Learning is a type of Artificial Intelligence (AI) that allows computers to learn from data without explicit programming. In other words, machine learning algorithms can recognize patterns and make predictions based on data, without getting a command. This enables computers to learn new tasks and improve their performance over time without human intervention.Where is Machine Learning used?Machine learning is in use by a wide range of applications, including email filtering, Social Media Personalization, Image Recognition, Speech Recognition, fraud detection, Text prediction, Product recommendation, medical diagnosis, Healthcare Personalization, Traffic Prediction.Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain.Neural networks can learn complex patterns from data.Neural networks have been successfully used in areas such as natural language processing.Deep Learning is a type of machine learning that uses neural networks with multiple layers.Each layer consists of multiple nodes that can perform diverse tasks. This allows deep learning models to learn more complex patterns from data.Deep learning has been used to achieve significant results in a wide range of tasks, including image recognition, speech recognition, and machine translation.

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