计算语言学课程
计算语言学课程可以帮助您学习自然语言处理、语法分析和语义理解。您可以掌握文本挖掘、语言模型和机器翻译技术方面的技能。许多课程会介绍 NLTK 和 spaCy 等 Python 库等工具，以及 AI 驱动的应用框架，帮助您应用这些技能有效地分析和生成人类语言。
热门计算语言学课程和认证
状态：免费试用DeepLearning.AI
您将获得的技能: 概率与统计, 自然语言处理, Machine Learning 方法, 降维, 功能工程, 文本挖掘, 分类算法, 监督学习, 嵌入, 统计机器学习
状态：预览Arizona State University
您将获得的技能: 负责任的人工智能, LLM 申请, 模型评估, 大型语言模型, 提示模式, Prompt Engineering, ChatGPT
状态：免费试用H2O.ai
您将获得的技能: Large Language Modeling, Model Evaluation, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, LLM Application, Data Preprocessing, Prompt Engineering, Generative Model Architectures, Training Programs, Data Validation, Data Cleansing, Natural Language Processing, Applied Machine Learning, Transfer Learning, Verification And Validation, Data Quality, AI Workflows
状态：预览Duke University
您将获得的技能: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning
状态：免费试用Vanderbilt University
您将获得的技能: LLM 申请, 生产率, 生成式人工智能, 验证和确认, 解决问题, 大型语言模型, AI 赋能, 提示模式, 情境管理, 人工智能, Prompt Engineering, OpenAI, 创造力, ChatGPT
状态：免费DeepLearning.AI
您将获得的技能: LLM Application, Large Language Modeling, Embeddings, Prompt Engineering, Data Processing, Big Data, Applied Machine Learning, Vector Databases
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
状态：免费试用您将获得的技能: Classification Algorithms, Machine Learning Methods, Data Preprocessing, Model Evaluation, Embeddings
状态：新状态：免费试用您将获得的技能: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, Agentic systems, AI Workflows, Large Language Modeling, Hugging Face, OpenAI, ChatGPT, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Application Development, Program Development, Retrieval-Augmented Generation, Artificial Intelligence, Data Processing
状态：预览University of Michigan
您将获得的技能: Prompt Engineering, Generative AI, AI Personalization, Responsible AI, LLM Application, Language Competency, Language Learning, Communication, Writing, Cultural Diversity
状态：免费试用Simplilearn
您将获得的技能: LangChain, AI Workflows, LLM Application, Generative AI, Large Language Modeling, Hugging Face, Prompt Engineering, Embeddings, AI Security, Model Deployment
状态：免费试用您将获得的技能: 检索-增强生成, LLM 申请, LangChain, Python 程序设计, 自然语言处理, 拥抱的脸, 生成式人工智能, Prompt Engineering, 网络应用, Flask（网络框架）, 图像分析, OpenAI
总之，以下是 10 最受欢迎的 computational linguistics 课程
- 利用分类和向量空间进行自然语言处理: DeepLearning.AI
- 人工智能基础：使用 ChatGPT 即时工程: Arizona State University
- Large Language Models: H2O.ai
- Beginning Llamafile for Local Large Language Models (LLMs): Duke University
- Chatgpt 应用提示工程: Vanderbilt University
- Large Language Models with Semantic Search: DeepLearning.AI
- Natural Language Processing - Deep Learning Models in Python: Packt
- Natural Language Processing Essentials: Edureka
- Langchain and Langgraph: Packt
- Learning Languages with AI: University of Michigan
