个结果，搜索词为 "learning theory"
状态：免费试用Politecnico di Milano
您将获得的技能: Open Source 技术, 学习理论, 教学法, 课程规划, 以学生为中心的学习, 学生参与, 创新, 教育材料, 教学策略, 教学和课程设计, 学习策略, 课程开发
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
状态：免费试用University of Colorado Boulder
您将获得的技能: 探索性数据分析, 机器学习, 无监督学习, Python 程序设计, 机器学习算法, 降维, 计算机视觉, 随机森林算法, 深度学习, 应用机器学习, 预测建模, 数据科学, 人工智能, Keras（神经网络库）, Scikit-learn （机器学习库）, 张力流, 人工神经网络, 监督学习, 图像分析, 分类与回归树 (CART)
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Predictive Modeling, Predictive Analytics, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
状态：免费试用University of Alberta
您将获得的技能: 概率分布, 机器学习, 抽样（统计）, 人工智能和机器学习（AI/ML）, 机器学习算法, 深度学习, 预测建模, 线性代数, 马尔可夫模型, 人工智能, 功能工程, 性能调整, 性能测试, 伪代码, 强化学习, 监督学习, Algorithm, 人工神经网络, 模拟
状态：免费试用多位教师
您将获得的技能: 机器学习, 决策树学习, 无监督学习, NumPy, Python 程序设计, 深度学习, 数据伦理, 随机森林算法, 预测建模, 负责任的人工智能, 应用机器学习, Jupyter, 监督学习, 人工智能, 强化学习, 功能工程, Scikit-learn （机器学习库）, 张力流, 人工神经网络, 分类与回归树 (CART)
是什么让您今天来到 Coursera？
状态：新您将获得的技能: Video Production, Instructional Design, Virtual Environment, User Interface and User Experience (UI/UX) Design, Learning Management Systems, Teaching, User Experience Design, User Centered Design, Storyboarding, Student Engagement, Learning Styles, Technical Writing, Human Centered Design, UI/UX Research, Information Architecture, Online Advertising
状态：新状态：免费试用您将获得的技能: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management
状态：新状态：免费试用Dartmouth College
您将获得的技能: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution
状态：免费试用Imperial College London
您将获得的技能: 应用数学, 回归分析, 统计分析, 机器学习, 概率与统计, 微积分, 衍生产品, Python 程序设计, NumPy, 机器学习算法, 数据操作, 统计, 降维, 数据科学, 线性代数, Algorithm, 高等数学, 人工神经网络, Jupyter
状态：新状态：预览您将获得的技能: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics
状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, R Programming, Statistical Inference, Statistical Machine Learning, Dimensionality Reduction, Machine Learning, Advanced Analytics, Random Forest Algorithm, Sampling (Statistics)
总之，以下是 10 最受欢迎的 learning theory 课程
- 设计学习创新: Politecnico di Milano
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 机器学习：理论与 Python 上机实践: University of Colorado Boulder
- Machine Learning Fundamentals: Dartmouth College
- 强化学习: University of Alberta
- 机器学习: DeepLearning.AI
- Design for Learning: UX in Online Teaching: Packt
- Foundations of Machine Learning with Azure: Packt
- Machine Learning with Neural Networks: Dartmouth College
- 机器学习数学: Imperial College London
