Introduction to Artificial Intelligence

The importance of Artificial Intelligence and Machine Learning has been increasing as a growing number of companies are using these technologies to improve their products and services, evaluate their business models, and enhance their decision-making process. If you are interested in AI, if you want to understand AI, and if you want to know how to use AI algorithms to solve problems, join us!

播放：117次，课程ID：4791478

Introduction to Artificial Intelligence课程简介：前往报名学习

Introduction to Artificial Intelligence课程简介：

The importance of Artificial Intelligence and Machine Learning has been increasing as a growing number of companies are using these technologies to improve their products and services, evaluate their business models, and enhance their decision-making process. If you are interested in AI, if you want to understand AI, and if you want to know how to use AI algorithms to solve problems, join us!

前往报名学习

Introduction to Artificial Intelligence课程目录：

Chapter 1 Overview of Artificial Intelligence

--1.1 What is artificial intelligence

--1.2 The History of artificial intelligence

--1.3 Applications of Artificial Intelligence

--1.4 Machine Learning and Deep Learning

Chapter 2 Machine Learning

--2.1 What is Machine Learning

--2.2 Supervised Learning

--2.3 Unsupervised Learning

--2.4 Construction of Development Environment

Chapter 3 Regression

--3.1 What is Regression

--3.2 Linear Regression

--3.3 Logistic Regression

--3.4 Practical Case

Chapter 4 Classification

--4.1 What is Classification

--4.2 Naive Bayes

--4.3 Support Vector Machine

--4.4 Practical Case

Chapter 5 Deep Learning

--5.1 Introduction to Deep Learning

--5.2 What is Neural Network

--5.3 Neural Network Basics

--5.4 Practical Case

Chapter 6 Convolutional Neural Network

--6.1 What is Convolutional Neural Network

--6.2 Convolution Layer

--6.3 Pooling Layer

--6.4 Classical Convolutional Neural Network

Chapter 7 Computer Vision

--7.1 What is Computer Vision

--7.2 Image Classification

--7.3 Introduction to TensorFlow

--7.4 Practical Case

Chapter 8 Natural Language Processing

--8.1 What is Natural Language Processing

--8.2 Basics of NLP

--8.3 Recurrent Neural Network

--8.4 Practical Case

Final Exam

Introduction to Artificial Intelligence授课教师：

王刚-讲师-南开大学-计算机学院

王刚 工学博士 南开大学计算机学院讲师 主讲《计算机基础》、《数据结构与算法》《人工智能与机器学习》等课程 主持多项省部级、校级教改项目 主编或参与编写、翻译多部教材

李妍-实验师-南开大学-计算机学院

李妍，南开大学，计算机学院公共计算机基础教学部，实验师。李妍，硕士，南开大学计算机学院。从事《计算机基础》、《数据结构与算法》、《数据库技术与应用》等课程的教学工作，参与教育部及学校的教改项目10余项，并参与编写多套教材。

康介恢-实验师-南开大学-计算机学院

硕士，实验师。2012年本科毕业于天津大学软件工程专业。2015年研究生毕业于南开大学机器智能研究所，研究方向为软件工程和软件测试。现任南开大学《数据库技术与程序设计》、《大学计算机基础》等课程教师。

王恺-副教授-南开大学-计算机学院

博士，南开大学计算机院副教授，硕士生导师，公共计算机基础教学部副主任。研究兴趣包括计算机视觉、机器学习、数据分析，主持国家、省部及校企项目10余项，发表SCI/EI检索科研论文30余篇。出版教材9部，在EI会议及核心期刊上发表教学论文3篇。

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