随机课程可以帮助您学习概率理论、随机过程、统计推断和风险评估技术。您可以掌握不确定性建模、分析 Time Series 数据以及将随机模拟应用于实际问题的技能。许多课程介绍了 R、Python 和 MATLAB 等工具,这些工具支持实施随机模型和进行模拟,让您可以 Visualization 结果并做出 Data 驱动的决策。

MathWorks
您将获得的技能: Reinforcement Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Unsupervised Learning, Supervised Learning, Control Systems, Simulations
初级 · 课程 · 1-4 周

University of California San Diego
您将获得的技能: Python 编程, 组合学, 贝叶斯统计, 算法, 算术, 模拟, 概率分布, 统计资料, 概率, 数学建模
初级 · 课程 · 1-3 个月

您将获得的技能: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model
混合 · 课程 · 1-4 周

Columbia University
您将获得的技能: 深度学习, 机器学习, 算法, 模拟, 概率分布, 人工智能和机器学习(AI/ML), 强化学习, 数据驱动决策, 统计方法, 决策支持系统, 马尔可夫模型
中级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: 统计假设检验, 统计分析, 贝叶斯统计, 概率分布, 概率与统计, 概率, 统计资料, 统计方法, 统计推理, 抽样(统计), 生物统计学
混合 · 课程 · 1-4 周

University of Pittsburgh
您将获得的技能: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms
攻读学位
初级 · 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, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
中级 · 课程 · 1-3 个月