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。

您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms
初级 · 课程 · 1-3 个月
University of Maryland, College Park
您将获得的技能: Unstructured Data, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Annual Reports, Machine Learning, Trend Analysis, Data-Driven Decision-Making, Natural Language Processing
初级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, ChatGPT, Generative Model Architectures, LLM Application, Responsible AI, AI Security, Model Evaluation, Natural Language Processing, Artificial Intelligence, Model Deployment, Context Management
初级 · 课程 · 1-4 周

National Taiwan University
您将获得的技能: Model Evaluation, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Theoretical Computer Science, Classification Algorithms, Artificial Intelligence, Supervised Learning, Machine Learning, Convolutional Neural Networks, Algorithms, Decision Tree Learning
中级 · 课程 · 1-3 个月

Duke University
您将获得的技能: 大型语言模型, 模型部署, 拉斯特(编程语言), 云部署, 机器学习, 拥抱的脸, PyTorch(机器学习库), AWS SageMaker, MLOps(机器学习 Operator), CI/CD, LLM 申请, 生成式人工智能, 应用机器学习, 自然语言处理, 基础设施即代码(IaC), Devops
中级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Feature Engineering, Predictive Modeling, Data Cleansing, Machine Learning, Real Estate, Regression Analysis, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: AI Personalization, Generative AI, Personalized Service, Responsible AI, Customer Analysis, Customer Service, Customer experience improvement, Customer Engagement, Prompt Engineering, AI Enablement, LLM Application, Natural Language Processing
初级 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings
中级 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
中级 · 专项课程 · 3-6 个月

您将获得的技能: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
中级 · 指导项目 · 不超过 2 小时
CertNexus
您将获得的技能: 决策树学习, 递归神经网络 (RNN), 分类算法, 预测建模, 人工神经网络, 机器学习算法, 应用机器学习, 卷积神经网络, 人工智能和机器学习(AI/ML), 自然语言处理, 随机森林算法, 深度学习, 计算机视觉, 监督学习
中级 · 课程 · 1-3 个月