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: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
混合 · 课程 · 1-3 个月

您将获得的技能: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Cloud Deployment, Jupyter, Machine Learning, Artificial Intelligence, Natural Language Processing
中级 · 课程 · 1-3 个月

您将获得的技能: AI Workflows, Artificial Neural Networks
中级 · 课程 · 3-6 个月

Google Cloud
您将获得的技能: Gemini, Cloud Development, Google Cloud Platform, Generative AI Agents, Application Development, Code Review, Natural Language Processing
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Tensorflow, Model Deployment, Generative Model Architectures, Natural Language Processing
高级设置 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Natural Language Processing, Large Language Modeling, Transfer Learning, Generative Model Architectures, Text Mining
高级设置 · 课程 · 1-4 周

Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
中级 · 课程 · 1-3 个月

您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
初级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Large Language Modeling, Text Mining
中级 · 课程 · 1-4 周

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

Microsoft
您将获得的技能: Generative AI, Artificial Intelligence, Productivity, AI Enablement, LLM Application, Microsoft Copilot, Data Ethics, Responsible AI, Machine Learning, Natural Language Processing
初级 · 课程 · 1-3 个月