Regular Expression 课程
Regular Expression 课程可以帮助您学习模式匹配、文本操作和数据 Validation 技术。您可以掌握排除 regex 问题、优化搜索查询以及从大型数据集中提取特定数据的技能。许多课程介绍了 Python 的 re Modulation、JavaScript 的 RegExp Object 和支持 regex 的文本编辑器等工具，展示了这些技能在软件开发、数据分析和网络搜索中的应用。
热门 Regular Expression 课程和认证
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
状态：新状态：免费试用Google
您将获得的技能: Data Structures
状态：免费试用Splunk Inc.
您将获得的技能: Data Modeling, Splunk, Pivot Tables And Charts, Data Management, Database Management, Query Languages, Data Integration, Performance Tuning, Data Science, Data Analysis, Big Data, Business Intelligence, Business Analytics, Geospatial Information and Technology, Statistics
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Computational Logic, Systems Design, Verification And Validation, Systems Analysis, Software Systems, Theoretical Computer Science, Computational Thinking, System Design and Implementation, Simulations, Programming Principles, Software Architecture, Software Design, Model Evaluation, Graph Theory, Software Testing, Hardware Architecture, Software Quality Assurance, Computer Architecture, Algorithms, Logical Reasoning
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, LangChain, Embeddings, Real Time Data, Vision Transformer (ViT), Data Quality
状态：免费试用Universidad Nacional Autónoma de México
您将获得的技能: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Theoretical Computer Science, Logical Reasoning, Python Programming, Deductive Reasoning, Reinforcement Learning, Probability, Verification And Validation, Decision Tree Learning, Algorithms, Probability Distribution
状态：免费DeepLearning.AI
您将获得的技能: 检索-增强生成, JSON, LLM 申请, 非结构化数据, 数据预处理, 文件管理, 视觉转换器（ViT）, 元数据管理, 图像分析, 数据转换
状态：免费您将获得的技能: Kotlin, Software Design Patterns, Debugging
状态：预览DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings
28DIGITAL
您将获得的技能: 功能要求, 理论计算机科学, 计算逻辑, 系统要求, 验证和确认, 系统设计, Data Validation
状态：免费您将获得的技能: C# (Programming Language), Data Validation, Integrated Development Environments, Debugging
状态：预览您将获得的技能: Malware Protection, Exploitation techniques, Exploit development, Cyber Threat Hunting, Cyber Security Assessment, Application Security, Threat Detection, Virtual Machines, Code Review, Debugging, System Programming, Scripting, Windows PowerShell, Virtual Environment, Linux, File Management
总之，以下是 10 最受欢迎的 regular expression 课程
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- Loops and Strings: Google
- Splunk Knowledge Manager 102: Splunk Inc.
- Fundamentals of Model Checking: University of Colorado Boulder
- Preprocessing Unstructured Data for LLMs and RAG Systems: Packt
- Razonamiento artificial: Universidad Nacional Autónoma de México
- 为 LLM 应用预处理非结构化数据: DeepLearning.AI
- Mastering Streamlined Syntax: Efficient Kotlin Coding: Coursera
- Последовательные модели: DeepLearning.AI
- 系统验证 (3)：通过模态公式提出要求: 28DIGITAL
