Deep Learning in Business Applications 深度学习与商业应用 (AIB527)

This course, AIB527 Deep Learning in Business Applications, aims to teach students fundamental knowledge of deep learning and artificial intelligence to better navigate the digital business landscape in their future careers. Students will learn various deep learning models, including convolutional neural networks, natural language processing, recommendation systems, and generative models, to acquire key skills for applying artificial intelligence in business domains. The course emphasizes practical skill development through case studies and project practices, helping students learn how to develop and implement deep learning models applicable to real-world business problems. Additionally, students will gain insights into the latest trends and ethical considerations in deep learning technology, providing support and guidance for making informed decisions in their future business practices. AIB527 深度学习在商业中的应用， 旨在向学生传授深度学习和人工智能的基础知识，以帮助他们在未来的职业生涯中更好地应对数字化商业环境。学生将通过本课程学习各种深度学习模型，包括卷积神经网络、自然语言处理、推荐系统和生成模型等，从而掌握在商业领域中应用人工智能的关键技能。本课程将注重实践技能的培养，通过案例研究和项目实践，帮助学生掌握如何开发和实施适用于解决实际商业问题的深度学习模型。同时，学生还将深入了解深度学习技术的最新趋势和伦理道德，为他们在未来的商业实践中做出明智的决策提供支持和指导。

• Introduction to Machine Learning 机器学习简介
• Introduction to Deep Learning and Neural Networks 深度学习和神经网络简介
• Introduction to Deep Learning Framework Libraries 深度学习框架库介绍
• Hands on Deep Learning Practice 深度学习实践
• Convolutional Neural Networks 卷积神经网络
• Natural Language Processing 自然语言处理
• Explainable Machine Learning 可解释的机器学习
• Recommender System 推荐系统
• Ethics of Artificial Intelligence 人工智能伦理
• Generative Models 生成模型
• Deep Learning Applications for Business 深度学习的商业应用案例
• Data Visualization and Analysis 数据可视化与分析

• Distinguish between machine learning and deep learning 区分机器学习和深度学习在商业应用中的不同之处
• Construct suitable deep learning models for business applications 构建适用于商业应用的深度学习模型
• Assess the trends of deep learning and artificial intelligence 评估深度学习和人工智能的趋势
• Recommend deep learning models to solve business problems 推荐合适的深度学习模型以解决商业问题
• Prepare high-dimensional datasets for business problems 为商业问题准备高维数据集
• Evaluate the results of deep learning models and transform them into business decisions 评估深度学习模型的结果并转换成商业决策