Natural Language Processing

自然语言处理(NLP)是一个结合了计算机科学、人工智能和语言学的跨学科领域,旨在使计算机能够理解、解释和生成人类语言。Coursera 的 NLP 目录向您讲授 NLP 的理论基础和实际应用。您将学习如何为文本分类、机器翻译、Sentiment Analysis 和语音识别等任务开发系统。您还将全面了解各种 NLP 算法、语义分析技术以及机器学习和深度学习在 NLP 中的应用。通过掌握这些技能,您将为创建能够有效交互和解释人类语言的智能系统做好准备。
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主题
必需的

语言
必需的

在整个课程(说明和评估)中使用的语言。

了解产品
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通过已评分作业、视频和论坛向顶级授课教师学习。
在交互式实践环境中学习新工具或新技能。
通过完成一系列课程和项目,深入学习学科知识。

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找到最适合您目标的 NLP 课程

  • 状态:免费试用

    您将获得的技能: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Feature Engineering

  • 状态:免费试用

    您将获得的技能: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming

  • 您将获得的技能: 大型语言模型, 人工神经网络, 生成模型架构, 自然语言处理

  • 状态:免费试用

    您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms

  • 状态:新
    状态:免费试用

    您将获得的技能: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

  • 状态:免费试用

    您将获得的技能: Responsible AI, Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Data Ethics, Tensorflow, Information Privacy, Google Cloud Platform, Artificial Intelligence, Image Analysis, Semantic Web, AI Product Strategy, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

是什么让您今天来到 Coursera?

  • 状态:免费试用

    Stanford University

    您将获得的技能: 统计方法, 统计推理, 机器学习算法, Algorithm, 测试数据, 网络分析, 网络模型, 统计建模, 计算思维, 应用机器学习, 概率分布, 马尔可夫模型, 抽样(统计), 决策支持系统, 非结构化数据, 概率与统计, 图论, 自然语言处理, 机器学习, 贝叶斯网络

  • Google Cloud

    您将获得的技能: Machine Learning 方法, 人工神经网络, 深度学习, 应用机器学习, 自然语言处理, 性能调整

  • 状态:新

    您将获得的技能: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Google Cloud Platform, Natural Language Processing, Machine Learning Algorithms

  • 状态:新

    您将获得的技能: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines, Big Data, Natural Language Processing, Machine Learning Algorithms

  • 状态:免费试用

    您将获得的技能: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining

  • 状态:预览

    您将获得的技能: Tensorflow, Keras (Neural Network Library), Generative AI, Applied Machine Learning, Machine Learning Methods, Deep Learning, Natural Language Processing, Artificial Neural Networks

是什么让您今天来到 Coursera?

主要合作伙伴

  • Google Cloud
  • Packt
  • IBM
  • Stanford University
  • LearnQuest
  • University of Illinois Urbana-Champaign