个结果，搜索词为 "machine learning foundations"
状态：免费试用University of Washington
您将获得的技能: 计算机视觉, 回归分析, 数据预处理, 预测建模, 自然语言处理, 无监督学习, 文本挖掘, 人工智能, Python 程序设计, 深度学习, 分类算法, 应用程序开发, 机器学习, Model Evaluation, 功能工程, 图像分析, 监督学习, 应用机器学习
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
状态：免费试用Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
状态：免费试用多位教师
您将获得的技能: 预测建模, 数据预处理, 无监督学习, Scikit-learn （机器学习库）, NumPy, Transfer Learning, 人工智能, 机器学习, Jupyter, 强化学习, 数据伦理, Model Evaluation, 应用机器学习, 监督学习, 张力流, 深度学习, 随机森林算法, 决策树学习, 分类算法, 功能工程
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms
状态：新状态：免费试用您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction
状态：免费试用Fractal Analytics
您将获得的技能: 回归分析, 预测建模, 无监督学习, 数据预处理, 分类算法, 机器学习, 逻辑回归, 功能工程, 模型部署, 决策树学习, Model Evaluation, 监督学习, 异常检测
状态：新状态：免费试用您将获得的技能: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
状态：新状态：免费试用您将获得的技能: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
状态：免费试用DeepLearning.AI
您将获得的技能: 描述性统计, 数学建模, 抽样（统计）, 数据预处理, 概率分布, 数值分析, 统计分析, NumPy, 统计假设检验, 机器学习, 降维, 贝叶斯统计, 概率, 概率与统计, 统计推理, 微积分, A/B 测试, Machine Learning 方法, 线性代数, 应用数学
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 machine learning foundations 课程
- 机器学习基础：案例研究法: University of Washington
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- Foundations of Machine Learning: Coursera
- 机器学习: DeepLearning.AI
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Applied Machine Learning and Model Optimization: Packt
- Machine Learning for Healthcare Applications: SkillUp
- 机器学习基础: Fractal Analytics
- Apply AI Foundations with Python and AWS: EDUCBA
- Machine Learning on Google Cloud: Google Cloud
