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。
Stanford University
您将获得的技能: 概率与统计, 图论, 贝叶斯网络, 决策支持系统, 自然语言处理, 网络模型, 网络分析, 统计建模, 概率分布, 马尔可夫模型
高级设置 · 课程 · 1-3 个月

Real Madrid Graduate School Universidad Europea
您将获得的技能: Large Language Modeling, Image Analysis, Real Time Data, Computer Vision, Advanced Analytics, AI Enablement, Reinforcement Learning, Data Analysis, Data-Driven Decision-Making, Artificial Intelligence, Analysis, Machine Learning, Automation, Data Presentation, Natural Language Processing, Supervised Learning, Innovation
初级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
攻读学位
中级 · 专项课程 · 3-6 个月

University of Washington
您将获得的技能: 概率与统计, 机器学习算法, 分类算法, 监督学习, 自然语言处理, 预测建模, 决策树学习, 模型评估, 可扩展性, 机器学习, 大数据, Algorithm, 数据预处理, 逻辑回归, 应用机器学习, 文本挖掘
混合 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, LangChain, LLM Application, Generative AI, AI Workflows, Application Development, Model Evaluation, Flask (Web Framework), Natural Language Processing, Software Development
中级 · 课程 · 1-4 周

您将获得的技能: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
高级设置 · 课程 · 3-6 个月

Duke University
您将获得的技能: 卷积神经网络, 数据科学, 无监督学习, 模型评估, 监督学习, 自然语言处理, 机器学习, 决策树学习, 深度学习, 分类与回归树 (CART), 预测分析, 随机森林算法, Algorithm, 回归分析, 逻辑回归, 计算机视觉, 人工智能和机器学习(AI/ML)
中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 生成式人工智能, 卷积神经网络, 无监督学习, 模型评估, 负责任的人工智能, 图像质量, 深度学习, 人工神经网络, 数据综合, 机器学习, 数据伦理, PyTorch(机器学习库), 生成模型架构, 信息隐私, 图像分析, 生成对抗网络 (GAN)
中级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 时间序列分析和预测, 卷积神经网络, 张力流, 预测建模, 深度学习, 人工神经网络, 机器学习, 递归神经网络 (RNN), 数据预处理, 应用机器学习, 预测
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
中级 · 专业证书 · 1-3 个月

您将获得的技能: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Cloud Deployment, Data Storage Technologies, Natural Language Processing, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning
中级 · 专项课程 · 3-6 个月

University of Maryland, College Park
您将获得的技能: Innovation, AI Enablement, Scalability, Procurement, Artificial Intelligence, Automation, Initiative and Leadership, Strategic Sourcing, Natural Language Processing, Business Transformation, Organizational Change, Digital Transformation, Artificial Intelligence and Machine Learning (AI/ML), Organizational Effectiveness, Performance Improvement, Emerging Technologies, Product Improvement, Operational Efficiency, Goal Setting, Product Requirements
初级 · 专项课程 · 3-6 个月