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
状态：预览Sungkyunkwan University
您将获得的技能: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
状态：预览您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Model Deployment, AI Workflows, Cloud Infrastructure, Data Preprocessing, Machine Learning, Feature Engineering, Natural Language Processing, Model Evaluation
状态：预览Google Cloud
您将获得的技能: 数据安全, 数据管理, 数据存储技术, 模型部署, MLOps（机器学习 Operator）, 数据处理, 数据建模, 功能工程, Google 云端平台
状态：预览您将获得的技能: Gemini, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Cloud Infrastructure, Model Deployment, Big Data, Machine Learning, Natural Language Processing
您将获得的技能: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Cloud Deployment, Jupyter, Machine Learning, Artificial Intelligence, Natural Language Processing
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 数据预处理, 数据驱动的决策制定, 数据分析, 商业分析, 分析, 数据展示
状态：新状态：免费试用您将获得的技能: Applied Behavior Analysis
状态：免费试用IBM
您将获得的技能: 探索性数据分析, 数据库, 交互式数据可视化, 仪表板, 数据展示, 数据库设计, 数据整理, Ggplot2, 绘图（图形）, SQL, 关系数据库, R 语言程序设计（中文版）, 数据叙事, 网页抓取, 数据分析, 数据可视化, 数据可视化软件, 闪亮（R 套件）, 数据操作, 模型评估
状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Tensorflow, Model Deployment, Big Data, Machine Learning, Model Evaluation, Natural Language Processing
您将获得的技能: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
- Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
- Introduction to AI and Machine Learning on GC - Português: Google Cloud
- 使用 Vertex AI 进行机器学习操作 (MLOps)：管理功能: Google Cloud
- Introduction to AI and Machine Learning on GC - Español: Google Cloud
- Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
- 应用商业解析导论: University of Illinois Urbana-Champaign
- Applied Behavior Analysis (ABA) Introduction: MedCerts
- 使用 R 的应用数据科学: IBM
- Statistics and Applied Data Analysis: University of Colorado Boulder
