个结果，搜索词为 "machine learning foundations"
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University of Washington
您将获得的技能: 机器学习, Python 编程, 人工智能, 模型评估, 计算机视觉, 深度学习, 回归分析, 自然语言处理, Model Evaluation, 无监督学习, 数据预处理, 应用程序开发, 预测建模, 分类算法, 监督学习, 功能工程, 文本挖掘, 应用机器学习, 图像分析
状态：免费试用Coursera
您将获得的技能: 机器学习, 统计建模, 回归分析, 模型评估, 异常检测, 时间序列分析和预测, 数据操作, 无监督学习, 决策树学习, 预测, 数据预处理, Model Evaluation, 预测建模, 机器学习算法, 监督学习, 分类算法, Scikit Learn（机器学习库）, 降维, 功能工程, 预测分析, 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：免费试用多位教师
您将获得的技能: 机器学习, 人工智能, 模型评估, 深度学习, 无监督学习, Model Evaluation, 预测建模, 数据预处理, NumPy, 数据伦理, 决策树学习, 迁移学习, 分类算法, 监督学习, 张力流, Scikit Learn（机器学习库）, 功能工程, 随机森林算法, 强化学习, Jupyter, 应用机器学习, Transfer Learning
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Statistical Machine Learning, Applied Mathematics, Machine Learning, Classification Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Algorithms, Probability & Statistics
是什么让您今天来到 Coursera？
状态：新您将获得的技能: Probability & Statistics, Data Ethics, Pandas (Python Package), Data Literacy, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Mathematical Theory & Analysis, Data Processing, Data Analysis, Data Preprocessing, Data-Driven Decision-Making, Data Architecture, Python Programming, Data Mapping, Data Integrity
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
状态：免费试用Fractal Analytics
您将获得的技能: 机器学习, 模型评估, 回归分析, 异常检测, 逻辑回归, 无监督学习, 模型部署, 决策树学习, 数据预处理, 分类算法, Model Evaluation, 监督学习, 预测建模, 功能工程
状态：预览IBM
您将获得的技能: 人工智能, 机器学习, 模型评估, 深度学习, 回归分析, 无监督学习, 预测建模, 数据科学, Model Evaluation, 监督学习, 分类算法, 强化学习, 应用机器学习
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Duke University
您将获得的技能: 卷积神经网络, 机器学习, 计算机视觉, 模型评估, 回归分析, 算法, 深度学习, 无监督学习, 逻辑回归, 自然语言处理, 决策树学习, 分类与回归树 (CART), 数据科学, Model Evaluation, 人工智能和机器学习（AI/ML）, 监督学习, 预测分析, 随机森林算法, Algorithm
总之，以下是 10 最受欢迎的 machine learning foundations 课程
- Machine Learning Foundations: Packt
- 机器学习基础：案例研究法: University of Washington
- 机器学习基础: Coursera
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 机器学习: DeepLearning.AI
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Principles of Data Science: Packt
- Applied Machine Learning and Model Optimization: Packt
- 机器学习基础: Fractal Analytics
- 机器学习入门: IBM
