Probability 理论课程
概率论课程可以帮助您学习统计推理、随机变量和概率分布。您可以掌握假设检验、Regression 分析和不确定情况下的决策技能。许多课程都会介绍 R、Python 和 Excel 等工具，这些工具支持分析数据和对现实世界的现象进行建模。您将探索贝叶斯定理、期望值和大数定律等关键主题，所有这些对于金融、工程和人工智能等领域的应用都至关重要。
热门概率论课程和认证
状态：免费试用New York University
您将获得的技能: Python 程序设计, 相关性分析, 金融交易, 决策树学习, Scikit-learn （机器学习库）, 监督学习, 金融服务, 降维, 强化学习, 机器学习, 回归分析, 投资组合管理, 应用机器学习, 探索性数据分析, 无监督学习, 人工神经网络
状态：免费试用您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
状态：免费试用您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
状态：免费试用您将获得的技能: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking
状态：免费试用您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
状态：免费试用您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
状态：免费试用Illinois Tech
您将获得的技能: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression
状态：免费试用University of California San Diego
您将获得的技能: 数据结构, 网络分析, 图论, Algorithm, 计划发展, 数学理论与分析, 可视化（计算机制图）, 组合学, 理论计算机科学
状态：预览École Polytechnique
您将获得的技能: 半导体, 应用数学, 微积分, 线性代数, 物理学, 微分方程, 数值分析, 材料科学, 化学
状态：预览California Institute of the Arts
您将获得的技能: 世界音乐, 音乐表演, 音乐创作, 音乐, 古典音乐, 音乐历史, 音乐理论, 器乐
状态：预览The University of Edinburgh
您将获得的技能: 音乐创作, 音乐, 古典音乐, 音乐理论
状态：免费试用University of Colorado Boulder
您将获得的技能: 文件管理, 设计师, 设计元素和原则, 数字设计, 色彩理论, 图像质量, 平面设计, 平面和视觉设计, 徽标设计
与 probability theory 相关的搜索
总之，以下是 10 最受欢迎的 probability theory 课程
- 金融领域的机器学习基础: New York University
- AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
- AI Workflow: AI in Production: IBM
- AI Workflow: Enterprise Model Deployment: IBM
- AI Workflow: Feature Engineering and Bias Detection: IBM
- Mastering Machine Learning Algorithms using Python: Packt
- Data Preparation and Analysis: Illinois Tech
- 图论入门: University of California San Diego
- 密度泛函理论: École Polytechnique
- 走近乐理旋律形式与简单和声: California Institute of the Arts
