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。

DeepLearning.AI
您将获得的技能: Tensorflow, Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Artificial Neural Networks, Applied Machine Learning, Machine Learning
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Social Media Analytics, Social Network Analysis, Machine Learning, Machine Learning Methods, Applied Machine Learning, Large Language Modeling, Natural Language Processing, Text Mining, Network Analysis, Analytics, Data Preprocessing, Unstructured Data, Classification Algorithms, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Data Processing
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Text Mining
中级 · 专项课程 · 1-3 个月

您将获得的技能: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Model Training, Cloud Deployment, Deep Learning, Data Pipelines, Model Optimization, Artificial Neural Networks, Data Preprocessing, Data Processing, Data Transformation
中级 · 课程 · 1-3 个月

您将获得的技能: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: 自然语言处理, Prompt Engineering, 大型语言建模, 及时工程, 法学硕士申请, Google 双子座
初级 · 课程 · 1-4 周

University of Washington
您将获得的技能: Model Evaluation, Regression Analysis, Jupyter, Machine Learning Methods, Applied Machine Learning, Image Analysis, Machine Learning, Machine Learning Algorithms, Predictive Modeling, AI Personalization, Deep Learning, Supervised Learning, Text Mining, Natural Language Processing, Python Programming, Classification Algorithms, Artificial Neural Networks
混合 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: 应用程序接口测试, 交流, JSON, 自然语言处理, Google Cloud 平台, 云 API, 云应用
初级 · 项目 · 不超过 2 小时

Google Cloud
您将获得的技能: Model Evaluation, 数据持久性, 图像分析, 开发环境, 深度学习, 张力流, 机器学习, 模型培训, 计算机视觉, 人工神经网络, 机器学习方法, 模型评估
初级 · 项目 · 不超过 2 小时

您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Data Processing, Development Environment, Predictive Analytics, Software Installation
混合 · 课程 · 1-4 周

Pearson
您将获得的技能: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture
中级 · 课程 · 1-4 周

您将获得的技能: Clinical Documentation, Quality Assurance, Clinical Monitoring, Microsoft Azure, Anomaly Detection, Generative AI, AI Integrations, Health Informatics, Real Time Data, Unstructured Data, Natural Language Processing, Regulatory Compliance
中级 · 课程 · 1-4 周