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DeepLearning.AI
您将获得的技能: LLM 申请, LangChain, Python 程序设计, 生成式 AI 代理, 应用程序开发, Prompt Engineering, 工具调用, ChatGPT
状态：免费试用您将获得的技能: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
状态：免费试用您将获得的技能: LangChain, LLM Application, Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Hugging Face, AI Workflows, Context Management, Generative AI Agents, Vector Databases, Prompt Engineering, Semantic Web
状态：免费试用您将获得的技能: Large Language Modeling, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Generative Model Architectures, Natural Language Processing, Transfer Learning
状态：免费试用您将获得的技能: 负责任的人工智能, 模型评估, 质量评估, 图像质量, Google 云端平台, 生成式人工智能, 大型语言模型, 人为因素, 数据伦理, 性能指标
状态：预览DeepLearning.AI
您将获得的技能: 负责任的人工智能, 可扩展性, LLM 申请, 模型评估, Python 程序设计, 自然语言处理, 强化学习, 大型语言模型, 生成式人工智能, 机器学习, 生成模型架构, 模型部署, 应用机器学习, Prompt Engineering
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
状态：新状态：预览University of the Arts London
您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, OpenAI, Artificial Intelligence, Responsible AI, Natural Language Processing, Data Ethics, Recurrent Neural Networks (RNNs)
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Embeddings, Generative AI, Deep Learning
状态：免费试用您将获得的技能: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
总之，以下是 10 最受欢迎的 computational linguistics 课程
- 使用 LangChain 的功能、工具和代理: DeepLearning.AI
- Applied Generative AI & NLP with Python: Packt
- Neural Models and Machine Translation: Edureka
- LangChain Course for LLM Application Development: Simplilearn
- H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
- Evaluationating Large Language Model Outputs：实用指南: Coursera
- 采用大型语言模型的生成式 AI: DeepLearning.AI
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
- Modern Natural Language Processing: Packt
- Creative AI: Text and Transformations: University of the Arts London
