个结果，搜索词为 "introduction to machine learning"
状态：预览Northeastern University
您将获得的技能: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning
状态：免费试用University of Michigan
您将获得的技能: 机器学习, 无监督学习, 回归分析, 人工神经网络, 决策树学习, 监督学习, 分类算法, 随机森林算法, Python 程序设计, 预测建模, 功能工程, 应用机器学习, Model Evaluation, Scikit-learn （机器学习库）
状态：免费Amazon Web Services
您将获得的技能: Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Data-Driven Decision-Making, AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 无监督学习, 数据预处理, 回归分析, 监督学习, 人工智能, 分类算法, Python 程序设计, Jupyter, Model Evaluation, 功能工程, 逻辑回归, NumPy, Scikit-learn （机器学习库）, 预测建模
状态：预览University of London
您将获得的技能: 机器学习, 数据预处理, 人工智能, 分类算法, 数据收集, Model Evaluation, 图像分析, 数据分析
状态：免费试用Imperial College London
您将获得的技能: 应用数学, Algorithm, 统计, 数据预处理, 回归分析, 人工神经网络, 微积分, 衍生产品, 无监督学习, Python 程序设计, 线性代数, 数学建模, 功能工程, 机器学习算法, Jupyter, NumPy, 高等数学, 降维
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 描述性统计, 机器学习, A/B 测试, 统计推理, 数据预处理, 微积分, 统计分析, 概率, 统计假设检验, 降维, 贝叶斯统计, 线性代数, 抽样（统计）, 数值分析, 机器学习算法, Machine Learning 方法, 概率分布, 概率与统计, NumPy
状态：免费试用University of Michigan
您将获得的技能: 机器学习, 决策树学习, 数据预处理, 分析, 分类算法, Python 程序设计, 分类与回归树 (CART), 预测分析, 应用机器学习, 预测建模, 功能工程, 机器学习算法, Model Evaluation, 逻辑回归, 监督学习, 数据分析, Scikit-learn （机器学习库）
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture
状态：免费试用您将获得的技能: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
状态：预览Sungkyunkwan University
您将获得的技能: 机器学习, 回归分析, 监督学习, 分类算法, Python 程序设计, Model Evaluation, 线性代数, 逻辑回归, 应用机器学习, 统计方法, Scikit-learn （机器学习库）
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling
与 introduction to machine learning 相关的搜索
总之，以下是 10 最受欢迎的 introduction to machine learning 课程
- Introduction to Machine Learning and Algorithmic Bias: Northeastern University
- Python 中的应用机器学习: University of Michigan
- Introduction to Machine Learning: Art of the Possible: Amazon Web Services
- 监督式机器学习：回归与分类: DeepLearning.AI
- 全民机器学习: University of London
- 机器学习数学: Imperial College London
- 机器学习和数据科学数学: DeepLearning.AI
- 体育分析中的机器学习入门: University of Michigan
- Introduction to Deep Learning: University of Colorado Boulder
- The Nuts and Bolts of Machine Learning: Google
