Module 02 · Data Science Topics

Glossary: Deep Learning and Machine Learning术语表：深度学习和机器学习

Welcome! This alphabetized glossary contains many of the terms in this course. These terms are important for you to recognize when working in the industry, participating in user groups, and participating in other certificate programs.
欢迎！本按字母顺序排列的术语表包含了本课程中的许多术语。这些术语对于您在行业内工作、参与用户组以及参与其他证书项目时识别非常重要。

Term 术语	Definition 定义	Video where the term is introduced 介绍该术语的视频
Artificial Neural Networks 人工神经网络	Collections of small computing units (neurons) that process data and learn to make decisions over time. 由大量小型计算单元（神经元）组成的集合，用于处理数据并随着时间的推移学会做出决策。	Artificial Intelligence and Data Science 人工智能与数据科学
Bayesian Analysis 贝叶斯分析	A statistical technique that uses Bayes' theorem to update probabilities based on new evidence. 一种利用贝叶斯定理根据新证据更新概率的统计技术。	Applications of Machine Learning 机器学习的应用
Business Insights 商业洞察	Accurate insights and reports generated by generative AI can be updated as data evolves, enhancing decision-making and uncovering hidden patterns. 由生成式人工智能生成的准确洞察和报告可以随着数据的演变而更新，从而增强决策能力并揭示隐藏的模式。	Generative AI and Data Science 生成式人工智能与数据科学
Cluster Analysis 聚类分析	The process of grouping similar data points together based on certain features or attributes. 将具有相似特征或属性的数据点分组的过程。	Neural Networks and Deep Learning 神经网络与深度学习
Coding Automation 编码自动化	Using generative AI to automatically generate and test software code for constructing analytical models, freeing data scientists to focus on higher-level tasks. 利用生成式人工智能自动生成和测试软件代码，用于构建分析模型，使数据科学家能够专注于更高级的任务。	Generative AI and Data Science 生成式人工智能与数据科学
Data Mining 数据挖掘	The process of automatically searching and analyzing data to discover patterns and insights that were previously unknown. 自动搜索和分析数据以发现先前未知模式和见解的过程。	Artificial Intelligence and Data Science 人工智能与数据科学
Decision Trees 决策树	A type of machine learning algorithm used for decision-making by creating a tree-like structure of decisions. 一种用于通过创建决策的树状结构来进行决策的机器学习算法。	Applications of Machine Learning 机器学习的应用
Deep Learning Models 深度学习模型	Includes Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) that create new data instances by learning patterns from large datasets. 包括生成对抗网络（GANs）和变分自编码器（VAEs），通过从大型数据集中学习模式来创建新的数据实例。	Generative AI and Data Science 生成式人工智能与数据科学
Five V's of Big Data 大数据的五个 V	Characteristics used to describe big data: Velocity, volume, variety, veracity, and value. 用于描述大数据的特征：速度、容量、多样性、真实性和价值。	Neural Networks and Deep Learning 神经网络与深度学习
Generative AI 生成式人工智能	A subset of AI that focuses on creating new data, such as images, music, text, or code, rather than just analyzing existing data. 专注于创造新数据（如图像、音乐、文本或代码），而不仅仅是分析现有数据的人工智能的一个子集。	Generative AI and Data Science 生成式人工智能与数据科学
Market Basket Analysis 购物篮分析	Analyzing which goods tend to be bought together is often used for marketing insights. 分析哪些商品倾向于一起购买通常用于营销洞察。	Neural Networks and Deep Learning 神经网络与深度学习
Naive Bayes 朴素贝叶斯	A simple probabilistic classification algorithm based on Bayes' theorem. 基于贝叶斯定理的简单概率分类算法。	Applications of Machine Learning 机器学习的应用
Natural Language Processing (NLP) 自然语言处理（NLP）	A field of AI that enables machines to understand, generate, and interact with human language, revolutionizing content creation and chatbots. 一个使机器能够理解、生成和与人类语言交互的人工智能领域，革新了内容创作和聊天机器人。	Generative AI and Data Science 生成式人工智能与数据科学
Precision vs. Recall 精确率与召回率	Metrics are used to evaluate the performance of classification models. 指标用于评估分类模型的性能。	Applications of Machine Learning 机器学习的应用
Predictive Analytics 预测分析	Using machine learning techniques to predict future outcomes or events. 利用机器学习技术预测未来结果或事件。	Neural Networks and Deep Learning 神经网络与深度学习
Synthetic Data 合成数据	Artificially generated data with properties similar to real data, used by data scientists to augment their datasets and improve model training. 人工生成的与真实数据具有相似属性的数据，被数据科学家用于扩充其数据集并改进模型训练。	Generative AI and Data Science 生成式人工智能与数据科学