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: 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
状态：预览您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Model Deployment, Applied Machine Learning, Machine Learning, Natural Language Processing
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：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: 数据叙事, 交互式数据可视化, 数据库, 数据可视化软件, R 语言程序设计（中文版）, 数据整理, 数据库设计, 数据展示, 数据操作, 仪表板, 闪亮（R 套件）, 绘图（图形）, Ggplot2, 探索性数据分析, 网页抓取, 数据分析, 数据可视化, 关系数据库, 模型评估, SQL
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Data Management, Data Governance, Google Cloud Platform, Model Evaluation, Data Pipelines, Data Preprocessing, Applied Machine Learning, Tensorflow, Machine Learning, Feature Engineering
状态：预览Google Cloud
您将获得的技能: 模型部署, 数据处理, 数据管理, 数据建模, MLOps（机器学习 Operator）, 数据存储技术, 功能工程, Google 云端平台, 数据安全
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 数据展示, 数据驱动的决策制定, Python 程序设计, 数据预处理, 分析, 商业分析, 数据分析
状态：免费试用您将获得的技能: Feature Engineering, Model Deployment, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Statistical Machine Learning, Embeddings, MLOps (Machine Learning Operations), Data Strategy, Machine Learning Algorithms, Supervised Learning, Model Evaluation, Artificial Neural Networks
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Model Deployment, AI Workflows, Applied Machine Learning, Data Preprocessing, Artificial Intelligence, Data Processing, Machine Learning, Natural Language Processing
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
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
- Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
- Introduction to AI and Machine Learning on GC - Español: Google Cloud
- Introduction to AI and Machine Learning on GC - Português: Google Cloud
- Applied Behavior Analysis (ABA) Introduction: MedCerts
- 使用 R 的应用数据科学: IBM
- Machine Learning in the Enterprise - 日本語版: Google Cloud
- 使用 Vertex AI 进行机器学习操作 (MLOps)：管理功能: Google Cloud
- 应用商业解析导论: University of Illinois Urbana-Champaign
- Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
