个结果，搜索词为 "machine learning foundations"
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 Washington
您将获得的技能: 分类与回归树 (CART), 人工智能, 预测建模, 回归分析, 机器学习, 文本挖掘, Python 程序设计, 深度学习, 应用机器学习, 功能工程, 计算机视觉, 数据挖掘, 监督学习, 图像分析, 自然语言处理
状态：免费试用多位教师
您将获得的技能: 分类与回归树 (CART), 人工智能, 预测建模, NumPy, 强化学习, 随机森林算法, 机器学习, 深度学习, 应用机器学习, Python 程序设计, 数据伦理, 负责任的人工智能, 决策树学习, Jupyter, 监督学习, Scikit-learn （机器学习库）, 张力流, 无监督学习, 功能工程, 人工神经网络
状态：新状态：免费试用Coursera
您将获得的技能: Supervised Learning, Unsupervised Learning, 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), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
状态：预览National Taiwan University
您将获得的技能: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms
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
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: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
状态：免费试用Fractal Analytics
您将获得的技能: 数据操作, 数据处理, 应用程序部署, 数据清理, 机器学习算法, 机器学习, 回归分析, 预测建模, 探索性数据分析, 异常检测, 统计建模, 无监督学习, 监督学习, 功能工程, 应用机器学习, 决策树学习
DeepLearning.AI
您将获得的技能: 持续监测, 应用程序部署, 机器学习, 持续部署, 应用机器学习, 数据质量, 功能工程, MLOps（机器学习 Operator）, 数据管道, 软件开发生命周期, Data Validation
状态：免费试用DeepLearning.AI
您将获得的技能: 概率与统计, 描述性统计, A/B 测试, 概率分布, 机器学习, 抽样（统计）, 数值分析, 数学建模, 降维, NumPy, 统计分析, 概率, 应用数学, 贝叶斯统计, 数据转换, 统计假设检验, 微积分, Machine Learning 方法, 统计推理, 线性代数
状态：新状态：免费试用您将获得的技能: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning
与 machine learning foundations 相关的搜索
总之，以下是 10 最受欢迎的 machine learning foundations 课程
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 机器学习基础：案例研究法: University of Washington
- 机器学习: DeepLearning.AI
- Foundations of Machine Learning: Coursera
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Machine Learning Fundamentals: Dartmouth College
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- The Nuts and Bolts of Machine Learning: Google
- 机器学习基础: Fractal Analytics
- 生产中的 Machine Learning: DeepLearning.AI
