随机课程
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。
热门随机课程和认证
您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
您将获得的技能: Linear Algebra, Algebra, Calculus, Advanced Mathematics, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis
您将获得的技能: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Risk Modeling, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis
University of Colorado Boulder
您将获得的技能: Simulation and Simulation Software, Mathematics Education, Interactive Design, Experimentation, Chemistry, Graphing, Physics, Biology, Algebra, Geometry
Johns Hopkins University
您将获得的技能: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations
University of Zurich
您将获得的技能: 统计资料, 风险分析, 财务, 概率与统计, 描述性统计, 应用数学, 概率, 概率分布
Stanford University
您将获得的技能: 机器学习, 统计推理, Algorithm, 贝叶斯网络, 概率与统计, 图论, 算法, 统计建模, 统计方法, 马尔可夫模型, 抽样（统计）, 概率分布, 计算思维, 机器学习算法, 贝叶斯统计, 网络分析, 模型评估, 决策支持系统, 应用机器学习, 机器学习方法, Model Evaluation, 网络模型
Imperial College London
您将获得的技能: 无监督学习, 自动编码器, 生成模型架构, 抽样（统计）, 概率分布, 贝叶斯统计, 深度学习, 应用机器学习, 张力流, 图像分析
您将获得的技能: Calculus, Graphing, General Mathematics, Algebra, Mathematical Theory & Analysis, Mathematical Modeling
您将获得的技能: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C++ (Programming Language), Mathematical Theory & Analysis, Applied Mathematics, Algebra
Johns Hopkins University
您将获得的技能: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Correlation Analysis, Engineering Analysis, Digital Signal Processing, Statistical Analysis, Reliability, Engineering, Spatial Analysis
您将获得的技能: Computer Graphics, 3D Assets, Visualization (Computer Graphics), Computer Graphic Techniques, Application Development, C++ (Programming Language), Software Design, Microsoft Windows, Software Architecture, Application Lifecycle Management, Context Management, System Configuration, Debugging, Mathematical Theory & Analysis, Data Structures, Applied Mathematics, Linear Algebra, Algebra
总之，以下是 10 最受欢迎的 stochastic 课程
- Deep Learning - Artificial Neural Networks with TensorFlow: Packt
- Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
- PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
- Diseño de Actividades con PhET para la Educación STEM: University of Colorado Boulder
- Foundations of Probability and Random Variables: Johns Hopkins University
- 概率直观入门: University of Zurich
- 概率图形模型: Stanford University
- 使用 TensorFlow 2 进行概率深度学习: Imperial College London
- KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS: Koç University
- DirectX: Implement & Optimize 3D Rendering: EDUCBA
