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: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning
★ 4.9 (19) · 初级 · 课程 · 1-4 周

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

Packt
您将获得的技能: 数据预处理, 模型优化, 深度学习, 机器学习, 模型培训, 人工智能, 微调, 人工智能和机器学习(AI/ML), 人工神经网络, PyTorch(机器学习库), 回归分析, 模型评估, 机器学习算法, Model Evaluation, 系统配置, 软件安装
★ 4.5 (54) · 中级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Machine Learning Methods, Applied Machine Learning, Network Architecture
★ 4.3 (11) · 中级 · 课程 · 1-4 周

您将获得的技能: SAS (Software), Network Analysis, Text Mining, Datamaps, Data Visualization, Analysis, Geospatial Mapping, Data Analysis, Statistical Programming, Data Transformation, Unstructured Data, Natural Language Processing, Data Preprocessing
★ 4.7 (195) · 中级 · 课程 · 1-4 周

您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision
★ 4.7 (49) · 高级设置 · 指导项目 · 不超过 2 小时

University of Zurich
您将获得的技能: Extensible Markup Language (XML), Extensible Languages and XML, Natural Language Processing, Language Interpretation, Translation, and Studies, Multilingualism, Unstructured Data, Data Quality, Machine Learning Methods
★ 4.8 (22) · 初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Model Training, Network Model
★ 4.2 (17) · 中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Cloud Deployment, Google Cloud Platform, Data Pipelines, Jupyter, Model Training, Deep Learning, Pandas (Python Package), Model Optimization, Feature Engineering, Predictive Modeling, Artificial Neural Networks, Data Import/Export
★ 4.5 (137) · 中级 · 课程 · 1-3 个月

University of Glasgow
您将获得的技能: 深度学习, Prompt Engineering, 健康信息学, 放射科, 人工智能, 及时工程, 预测建模, 医疗保健伦理, 人工神经网络, 生成式人工智能, 增强现实与虚拟现实(AR/VR), 医疗保健行业知识, 医学影像, 临床信息学, 口腔信息学, 健康技术, 负责任的人工智能, 数据伦理
★ 4.7 (18) · 初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming
★ 4.6 (47) · 初级 · 专项课程 · 1-3 个月

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, Convolutional Neural Networks, 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, Statistical Inference
中级 · 专项课程 · 3-6 个月