应用机器学习课程
应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具，这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。
热门应用机器学习课程和认证
您将获得的技能: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
University of Washington
您将获得的技能: 机器学习, Algorithm, 功能工程, 算法, 统计建模, 数据预处理, Python 编程, 回归分析, 模型评估, 预测建模, 监督学习, Model Evaluation
University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing
University of Alberta
您将获得的技能: 机器学习, Algorithm, 人工智能, 强化学习, 概率分布, 算法, 马尔可夫模型, 机器学习算法
Sungkyunkwan University
您将获得的技能: 机器学习, 监督学习, Python 编程, 逻辑回归, 模型评估, 统计方法, 线性代数, 回归分析, 分类算法, Model Evaluation, Scikit Learn（机器学习库）, 应用机器学习
Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks
University of Illinois Urbana-Champaign
您将获得的技能: Education Software and Technology, Supervised Learning, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, Data Mining, Learning Theory, Human Computer Interaction, Natural Language Processing
DeepLearning.AI
您将获得的技能: 机器学习, MLOps（机器学习运营）, 数据驱动决策, 人工智能产品战略, 调试, 深度学习, 模型评估, Model Evaluation, 迁移学习, Transfer Learning, 应用机器学习, 性能调整
Sungkyunkwan University
您将获得的技能: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics
Georgia Institute of Technology
您将获得的技能: 结构分析, 材料科学, 工程设计流程, 工程分析, 解决问题, 机械设计, 生物医学工程, 故障分析, 机械
您将获得的技能: 卷积神经网络, PyTorch（机器学习库）, 人工神经网络, 分类算法, 深度学习, 模型评估, Model Evaluation, 应用机器学习, 监督学习
Whizlabs
您将获得的技能: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Machine Learning Foundations: Packt
- 机器学习回归: University of Washington
- Machine Learning Essentials: University of Pennsylvania
- 强化学习基础: University of Alberta
- 机器学习基础: Sungkyunkwan University
- Interpretable Machine Learning: Duke University
- Machine Learning and Human Learning: University of Illinois Urbana-Champaign
- 构建机器学习项目: DeepLearning.AI
- Machine Learning Algorithms: Sungkyunkwan University
- 机械设计第一部分: Georgia Institute of Technology
