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
Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing
状态：免费试用Fundação Instituto de Administração
您将获得的技能: Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Ggplot2, Marketing, Data Visualization Software, Plot (Graphics), Data Modeling, R Programming, Analytics, Data Science, Data Analysis, Innovation, Business Analytics, Data Manipulation
状态：免费试用HRCI
您将获得的技能: 劳动力发展, 专业发展, 计划评估, 编写培训材料, 需求评估, 合规培训, 在职培训, 培训计划, 教学设计, 员工培训, 培训与发展, 员工参与, 学习风格, 成人教育
状态：预览Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Data Pipelines, Scalability
状态：免费试用University of Colorado System
您将获得的技能: Encryption, 密码学, 网络安全, Algorithm, 公钥加密标准（PKCS）, Authentication, 公钥基础设施, 数据安全, 计算逻辑, 信息保障, 数据加密标准, 暴力攻击, 关键管理, 信息系统安全, 高级加密标准（AES）, 理论计算机科学, 数据完整性
状态：预览Edge Impulse
您将获得的技能: Python 程序设计, 计算机编程, 卷积神经网络, 模型评估, 人工神经网络, 机器学习, 迁移学习, 计算机视觉, 深度学习, 数据预处理, 数据伦理, 应用机器学习, 模型部署, 图像分析, 人工智能和机器学习（AI/ML）, 嵌入式系统
您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms
状态：免费试用Johns Hopkins University
您将获得的技能: 概率与统计, 统计分析, 探索性数据分析, 统计建模, Plotly, 模型评估, 闪亮（R 套件）, Rmarkdown, 机器学习, 统计推理, 统计假设检验, R 语言程序设计（中文版）, 回归分析, GitHub, 预测建模, 数据可视化, 数据展示, 交互式数据可视化, 机器学习算法, 统计机器学习
您将获得的技能: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI
您将获得的技能: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
状态：免费试用University of California San Diego
您将获得的技能: Bioinformatics, Diagnostic Tests, Model Evaluation, Molecular Biology, Infectious Diseases, Informatics, Network Analysis, Medical Science and Research, Computational Thinking, Biochemistry, Data Mining, Scientific Visualization, Life Sciences, Tree Maps, Microbiology, Biology, Data Analysis Software, Pharmacology, Science and Research
您将获得的技能: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Production Machine Learning Systems - Español: Google Cloud
- Machine Learning Aplicado ao Marketing: Fundação Instituto de Administração
- 学习与发展: HRCI
- Production Machine Learning Systems - Français: Google Cloud
- 应用密码学: University of Colorado System
- 计算机视觉与嵌入式机器学习: Edge Impulse
- Interpretable Machine Learning Applications: Part 1: Coursera
- 数据科学：统计与机器学习: Johns Hopkins University
- Interpretable Machine Learning Applications: Part 4: Coursera
- Interpretable Machine Learning Applications: Part 2: Coursera
