个结果，搜索词为 "classification algorithms"
多位教师
您将获得的技能: 模型评估, 分类算法, 无监督学习, 数据伦理, 深度学习, 数据预处理, 机器学习, 人工智能, Scikit Learn（机器学习库）, 张力流, 预测建模, 强化学习, 迁移学习, Jupyter, 决策树学习, 应用机器学习, 监督学习, 功能工程, NumPy, 随机森林算法
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
University of London
您将获得的技能: Algorithms, Computational Thinking, Theoretical Computer Science, Programming Principles, Computational Logic, Critical Thinking and Problem Solving, Performance Testing, Computer Science, Data Structures, Critical Thinking, Logical Reasoning, Graph Theory, Complex Problem Solving, Analysis, Game Theory
Imperial College London
您将获得的技能: Python 编程, 数据预处理, 算法, 降维, 无监督学习, 应用数学, 统计资料, 线性代数, 回归分析, 衍生产品, 微积分, 功能工程, 机器学习算法, NumPy, 高等数学, Jupyter, 人工神经网络, 数学建模
Alberta Machine Intelligence Institute
您将获得的技能: 模型评估, 分类算法, 负责任的人工智能, 模型部署, 数据伦理, MLOps（机器学习运营）, 数据预处理, 产品生命周期管理, 机器学习, 数据清理, 项目管理, 功能工程, 机器学习算法, 决策树学习, 业务运营, 数据质量, 应用机器学习, Jupyter, 监督学习, 数据验证
Stanford University
您将获得的技能: 图论, 网络分析, 计算机科学, 算法, 网络路由, 计算逻辑, 网络模型, 计算思维, 社交网络分析, 概率, 运筹学, 数据结构, 伪代码, 生物信息学, 理论计算机科学, 编程原则, 分析
是什么让您今天来到 Coursera？
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
University of Illinois Urbana-Champaign
您将获得的技能: 数据可视化软件, 统计分析, 无监督学习, 仪表板, 数据故事, 矢量数据库, 非结构化数据, 文本挖掘, 大数据, 数据映射, 绘图（图形）, 预测分析, 交互式数据可视化, 自然语言处理, 散点图, 数据挖掘, Tableau 软件, 数据可视化, 制图, 数据展示
University of Colorado Boulder
您将获得的技能: Agentic systems, Artificial Intelligence, Algorithms, Computational Thinking, Graph Theory, Data Structures
IBM
您将获得的技能: 模型评估, 分类算法, 机器学习, 数据预处理, Scikit Learn（机器学习库）, 数据清理, 性能指标, 随机森林算法, 决策树学习, 预测建模, 抽样（统计）, 功能工程, 逻辑回归, 监督学习
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
Whizlabs
您将获得的技能: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing
总之，以下是 10 最受欢迎的 classification algorithms 课程
- 机器学习: DeepLearning.AI
- Applied Machine Learning and Model Optimization: Packt
- Algorithms and Complexity: University of London
- 机器学习数学: Imperial College London
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- 算法: Stanford University
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- 数据挖掘: University of Illinois Urbana-Champaign
- Intelligent Agents and Search Algorithms: University of Colorado Boulder
- 有监督的机器学习：分类: IBM
