个结果，搜索词为 "natural language processing"
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 大型语言模型, 监督学习, Machine Learning 方法, 人工智能, 自然语言处理, 文本挖掘, 降维, 嵌入, 马尔可夫模型, 统计机器学习, 迁移学习, 递归神经网络 (RNN), Keras（神经网络库）, 深度学习, 人工神经网络, 生成式人工智能, 应用机器学习, 逻辑回归, 数据预处理
状态：免费试用您将获得的技能: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing
状态：新状态：预览您将获得的技能: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning
状态：免费试用您将获得的技能: Classification Algorithms, Machine Learning Methods, Data Preprocessing, Model Evaluation, Embeddings
University of Colorado Boulder
您将获得的技能: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Machine Learning Methods, Classification Algorithms, Unstructured Data, Deep Learning, Probability Distribution, Linear Algebra, Algorithms
状态：免费试用Vanderbilt University
您将获得的技能: 大型语言模型, Prompt Engineering, LLM 申请, 情境管理, 人工智能, ChatGPT, 创造力, 验证和确认, 解决问题, AI 赋能, 生成式人工智能, 生产率, OpenAI, 提示模式
是什么让您今天来到 Coursera？
状态：免费试用DeepLearning.AI
您将获得的技能: 监督学习, Machine Learning 方法, 嵌入, 自然语言处理, 降维, 文本挖掘, 人工智能, 功能工程, 统计机器学习, 分类算法, 逻辑回归, 数据可视化
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 预测建模, 自然语言处理, 递归神经网络 (RNN), Keras（神经网络库）, 文本挖掘, 人工神经网络, 应用机器学习, 数据预处理, 嵌入, 张力流
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, LangChain, Model Evaluation, Prompt Patterns, Retrieval-Augmented Generation, Data Wrangling, Supervised Learning, LLM Application, Unsupervised Learning, PyTorch (Machine Learning Library), Exploratory Data Analysis, Generative Model Architectures, Data Analysis, Keras (Neural Network Library), Predictive Modeling, Convolutional Neural Networks, Generative AI, Jupyter, Flask (Web Framework)
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), Classification Algorithms, Artificial Neural Networks, Python Programming, NumPy, Model Evaluation, Data Preprocessing, Applied Machine Learning, Unsupervised Learning
状态：免费试用IBM
您将获得的技能: PyTorch（机器学习库）, 检索-增强生成, 大型语言模型, 机器学习, Prompt Engineering, 计算机视觉, 数据科学, LLM 申请, 模型评估, Python 程序设计, Keras（神经网络库）, 监督学习, 深度学习, 生成模型架构, PySpark, 卷积神经网络, 应用机器学习, 无监督学习, 生成式人工智能, Apache Spark
状态：免费试用IBM
您将获得的技能: 负责任的人工智能, 自然语言处理, 生成式人工智能, 商业道德, 社会影响
是什么让您今天来到 Coursera？
与 natural language processing 相关的搜索
总之，以下是 10 最受欢迎的 natural language processing 课程
- 自然语言处理: DeepLearning.AI
- Natural Language Processing with Real-World Projects: Packt
- Apply Natural Language Processing Techniques in Python: EDUCBA
- Natural Language Processing Essentials: Edureka
- Fundamentals of Natural Language Processing: University of Colorado Boulder
- Chatgpt 应用提示工程: Vanderbilt University
- 利用分类和向量空间进行自然语言处理: DeepLearning.AI
- TensorFlow 中的自然语言处理: DeepLearning.AI
- IBM Generative AI Engineering: IBM
- Modern Natural Language Processing: Packt
