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  • Nlp

NLP 课程

NLP 课程可以帮助您学习文本处理、Sentiment Analysis、语言模型和聊天机器人开发。您可以掌握数据预处理、Feature Extraction 和 Model Evaluation 性能方面的技能。许多课程介绍了 NLTK 和 spaCy 等 Python 库以及 TensorFlow 和 PyTorch 等框架等工具,这些工具支持实施 NLP 技术和开发利用人工智能的应用程序。


热门 NLP 课程与认证


  • P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    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

    中级 · 课程 · 1-3 个月

  • P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    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

    中级 · 课程 · 1-4 周

  • P

    Packt

    Essential Guide to LLMOps

    您将获得的技能: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection

    高级设置 · 课程 · 1-3 个月

  • M

    Microsoft

    Microsoft Azure 中的自然语言处理

    您将获得的技能: 人工智能, Microsoft Azure, 自动化, 自然语言处理, 人工智能和机器学习(AI/ML), 应用程序开发, 分析, 微软 Azure

    4.7
    评分, 4.7 星,最高 5 星
    ·
    124 条评论

    初级 · 课程 · 1-4 周

  • E

    Edureka

    Advanced Tokenization and Sentiment Analysis

    您将获得的技能: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Model Evaluation, Embeddings, Data Preprocessing, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Unstructured Data, Data Cleansing, Data Processing, Classification Algorithms, Deep Learning, Machine Learning Methods, Unified Modeling Language, Machine Learning Algorithms

    中级 · 课程 · 1-4 周

  • P

    Packt

    Applied NLP and Generative AI

    您将获得的技能: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Multilingualism

    中级 · 专项课程 · 3-6 个月

  • C

    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    您将获得的技能: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning

    中级 · 课程 · 1-3 个月

  • C

    Coursera

    Preparing Multimodal Data: Vision, Audio, and NLP Pipelines

    您将获得的技能: Data Preprocessing, Model Evaluation, Hugging Face, Data Transformation, Feature Engineering, Data Pipelines, Image Analysis, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms

    中级 · 课程 · 3-6 个月

  • C

    Coursera

    Deep Learning Engineering

    您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision

    高级设置 · 专项课程 · 1-3 个月

  • I

    IBM

    Generative AI for Java and Spring Developers

    您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Model Deployment, Restful API, Software Design, Application Deployment, Software Architecture, Continuous Integration, Software Design Patterns, AI Workflows, Software Development, LLM Application, Java, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Java Programming

    4.7
    评分, 4.7 星,最高 5 星
    ·
    1.2万 条评论

    中级 · 专项课程 · 3-6 个月

  • E

    Edureka

    No-Code Data Science and Machine Learning

    您将获得的技能: Model Evaluation, Data Analysis, Classification Algorithms, Data Collection, Data Cleansing, Image Analysis, Model Deployment, Regression Analysis, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    中级 · 专项课程 · 3-6 个月

  • P

    Packt

    AI Engineer Professional

    您将获得的技能: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    高级设置 · 专项课程 · 1-3 个月

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总之,以下是 10 最受欢迎的 nlp 课程

  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • Essential Guide to LLMOps: Packt
  • Microsoft Azure 中的自然语言处理: Microsoft
  • Advanced Tokenization and Sentiment Analysis: Edureka
  • Applied NLP and Generative AI: Packt
  • Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
  • Preparing Multimodal Data: Vision, Audio, and NLP Pipelines: Coursera
  • Deep Learning Engineering: Coursera
  • Generative AI for Java and Spring Developers: IBM

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解决问题 (14)
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Kubernetes (10)
列表和标签 (10)

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