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: Model Optimization, Tensorflow, Deep Learning, Model Training, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Statistical Analysis, Debugging, Verification And Validation, Algorithms
中级 · 课程 · 1-4 周

Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Amazon Web Services, Tensorflow, Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Classification Algorithms, Software Design, Application Development, Model Evaluation
中级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Algorithms, Probability Distribution
攻读学位
中级 · 课程 · 1-3 个月

Università di Napoli Federico II
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)
中级 · 课程 · 1-3 个月

您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct
中级 · 专业证书 · 3-6 个月

O.P. Jindal Global University
您将获得的技能: Text Mining, Customer Analysis, Data Ethics, Data Mining, Customer Insights, Marketing Analytics, Unstructured Data, Data-Driven Marketing, Marketing, Data Processing, MarTech, Applied Machine Learning, Brand Management, Natural Language Processing, Predictive Analytics, Machine Learning, Data Preprocessing, Data Quality
初级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Natural Language Processing, Generative Model Architectures, Large Language Modeling, Classification Algorithms
高级设置 · 课程 · 1-4 周
您将获得的技能: LLM Application, Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Integration, Applied Machine Learning, Data Capture, Data Quality, Exploratory Data Analysis, Natural Language Processing, Classification Algorithms, Data Management
中级 · 课程 · 1-3 个月

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

Google Cloud
您将获得的技能: Cloud API, Google Cloud Platform, Application Programming Interface (API), Natural Language Processing, Machine Learning, Application Development
初级 · 项目 · 不超过 2 小时

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