个结果，搜索词为 "machine learning algorithms"
Alberta Machine Intelligence Institute
您将获得的技能: 数据质量, 机器学习方法, Data Validation, 数据验证, 模型培训, 模型评估, 功能工程, MLOps（机器学习运营）, 机器学习算法, 机器学习, 分类算法, Model Evaluation, 项目管理, 数据预处理, 模型部署, 模型优化, 监督学习, Jupyter, 统计机器学习, 应用机器学习, 数据伦理, 负责任的人工智能
您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization
多位教师
您将获得的技能: Transfer Learning, 无监督学习, 机器学习算法, 模型培训, 机器学习方法, 模型评估, 深度学习, 机器学习, 分类算法, Model Evaluation, Scikit Learn（机器学习库）, 决策树学习, 人工智能, NumPy, 迁移学习, 监督学习, Jupyter, 应用机器学习, 预测建模, 负责任的人工智能, 张力流, 数据伦理
University of Washington
您将获得的技能: 无监督学习, 机器学习算法, 模型培训, 图像分析, 机器学习方法, 人工智能个性化, 模型评估, 分类算法, 逻辑回归, 机器学习, 功能工程, Model Evaluation, 数据挖掘, 人工智能和机器学习（AI/ML）, 监督学习, 回归分析, 应用机器学习, 统计机器学习, 贝叶斯统计, 统计建模, 预测建模
Sungkyunkwan University
您将获得的技能: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics
是什么让您今天来到 Coursera？
Alberta Machine Intelligence Institute
您将获得的技能: Python 编程, 模型培训, 机器学习算法, 模型评估, 业务解决方案, 机器学习方法, 分类算法, 机器学习, 决策树学习, Model Evaluation, 模型优化, 数据预处理, 性能分析, 监督学习, Jupyter, 应用机器学习, 回归分析, 统计机器学习, 数据处理
Coursera
您将获得的技能: 无监督学习, 功能工程, 模型培训, 模型评估, 预测, 数据操作, 机器学习算法, 分类算法, 时间序列分析和预测, 数据预处理, Scikit Learn（机器学习库）, 机器学习, Model Evaluation, 预测分析, 决策树学习, 降维, 异常检测, 监督学习, 应用机器学习, 预测建模, 机器学习软件
您将获得的技能: Python 编程, 无监督学习, 机器学习方法, 模型评估, 模型培训, 机器学习, 机器学习算法, 逻辑回归, 模型优化, 分类算法, Model Evaluation, Scikit Learn（机器学习库）, 预测分析, 决策树学习, 降维, 监督学习, 应用机器学习, 回归分析, 统计机器学习, 预测建模
Imperial College London
您将获得的技能: 数据科学, Python 编程, 数值分析, 人工神经网络, 无监督学习, 数据转换, 数学软件, 应用数学, 微积分, 数据操作, 功能工程, 统计资料, 数据预处理, 降维, 模型优化, NumPy, Jupyter, 应用机器学习, 线性代数, 回归分析
Dartmouth College
您将获得的技能: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Statistical Machine Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Generative Model Architectures, Machine Learning Algorithms, Classification Algorithms, Model Optimization, Regression Analysis, Probability & Statistics
O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing
总之，以下是 10 最受欢迎的 machine learning algorithms 课程
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- Mastering Machine Learning Algorithms using Python: Packt
- AI and Machine Learning Algorithms and Techniques: Microsoft
- 机器学习: DeepLearning.AI
- 机器学习: University of Washington
- Machine Learning Algorithms: Sungkyunkwan University
- 机器学习算法：监督学习从头到尾: Alberta Machine Intelligence Institute
- 机器学习基础: Coursera
- 使用 Python 进行机器学习: IBM
- Mathematics for Machine Learning: Imperial College London
