Deep Reinforcement Learning 课程可以帮助您学习强化学习、神经网络和策略梯度的原理。您可以掌握算法设计、奖励优化和环境模拟方面的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具,这些工具支持实现 AI 模型,以及在复杂环境中训练代理的技术。

National Taiwan University
您将获得的技能: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension
初级 · 课程 · 1-3 个月

您将获得的技能: Scripting, Email Automation, Google Workspace, Google Sheets, Automation, Spreadsheet Software, Gmail, Javascript, Hypertext Markup Language (HTML), Web Applications, Application Design, Application Development, Application Programming Interface (API)
中级 · 课程 · 1-3 个月

您将获得的技能: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Programming Principles, Data Import/Export, Matlab, Exploratory Data Analysis, Scripting, Data Preprocessing, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning
混合 · 课程 · 1-4 周

EDHEC Business School
您将获得的技能: 统计方法, 机器学习, 投资组合风险, 降维, 投资组合管理, 监督学习, 投资管理, 资产管理, Jupyter, 计算机科学, 预测分析, 无监督学习, 回归分析, 应用机器学习, 金融市场, 金融建模
中级 · 课程 · 1-3 个月

University of Illinois Urbana-Champaign
您将获得的技能: 文化多样性, 高等教育, 课程开发, 以学生为中心的学习, 学生参与, 教学法, 差异化教学, 数字教学法, 终身学习, 教育与培训, 愿意学习, 教学, 教学策略, 人类学习
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Python 程序设计, 机器学习, Machine Learning 方法, 张力流, 模型评估, Keras(神经网络库), 人工神经网络, 性能调整, 数据预处理, 数据导入/导出, 应用机器学习, ChatGPT, 图像分析
中级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Model Evaluation
混合 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Workflow Management, AI Workflows, Data Preprocessing, Enterprise Modeling, Data Pipelines, Predictive Modeling, Applied Machine Learning, Model Evaluation, Machine Learning, Data Processing, Data Management
中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Artificial Neural Networks, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Simulations, 3D Modeling
混合 · 课程 · 1-3 个月

您将获得的技能: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
初级 · 指导项目 · 不超过 2 小时

University of Michigan
您将获得的技能: Instructional Design, Learning Theory, Design, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies
初级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling
中级 · 课程 · 1-3 个月