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。
University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 数据操作, 时间序列分析和预测, 机器学习, Scikit-learn (机器学习库), 模型评估, 文本挖掘, 数据预处理, 预测建模, 分类算法, Jupyter, 无监督学习, 监督学习, 应用机器学习, Pandas(Python 软件包), 机器学习算法, 回归分析, 功能工程
攻读学位
中级 · 课程 · 1-3 个月

Cleveland Clinic
您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
初级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: 移情与情商, 自我意识, 建立关系, 教学, 坚持不懈, 成长意识
高级设置 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis
初级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
初级 · 课程 · 1-4 周

Commonwealth Education Trust
您将获得的技能: 课程开发, 创造性思维, 协作, 学生参与, 成人教育, 教学法, 课堂管理, 适应, 教学策略, 规划, 专业发展, 教育与培训, 与儿童一起工作, 教学
混合 · 课程 · 1-4 周

New York Institute of Finance
您将获得的技能: Python 程序设计, 时间序列分析和预测, 机器学习, 张力流, 市场趋势, 模型评估, Keras(神经网络库), 统计机器学习, 应用机器学习, 预测建模, 金融交易, 数据管道, 金融市场, 深度学习, 技术分析, 证券交易
中级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication
初级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
中级 · 课程 · 1-4 周

Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 库存管理系统, 物流管理, 价值主张, 持续改进流程, 质量管理, 运行效率, 企业可持续发展, 新产品开发, 供应商管理, 供应链规划, 协调, 供应链, 消费者行为, 供应链管理
混合 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI
中级 · 指导项目 · 不超过 2 小时