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：新状态：免费试用您将获得的技能: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Trend Analysis, Amazon Redshift, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 数据操作, 预测建模, 监督学习, Scikit-learn （机器学习库）, 分类算法, 模型评估, 文本挖掘, 应用机器学习, 功能工程, Pandas（Python 软件包）, 无监督学习, 时间序列分析和预测, Jupyter, 机器学习算法, 数据预处理, 机器学习, 回归分析
状态：新状态：免费试用Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management
状态：新状态：免费试用University of Michigan
您将获得的技能: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation
状态：新状态：预览Northeastern University
您将获得的技能: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Supervised Learning, Model Evaluation
状态：免费试用LearnQuest
您将获得的技能: Python 程序设计, Scikit-learn （机器学习库）, 分类算法, 预测建模, 数据转换, 监督学习, 无监督学习, 随机森林算法, 数据预处理, 应用机器学习, 人工神经网络, 降维, 机器学习, 数据清理
状态：预览H2O.ai
您将获得的技能: 数据操作, 自动编码器, 异常检测, 模型评估, 预测建模, 分类算法, 监督学习, 随机森林算法, 应用机器学习, 决策树学习, 无监督学习, 功能工程, 深度学习, 数据预处理, 降维, 机器学习
状态：免费试用University of Colorado System
您将获得的技能: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning
状态：免费试用University of Washington
您将获得的技能: 可扩展性, 概率与统计, 自然语言处理, 模型评估, 分类算法, 预测建模, 监督学习, 逻辑回归, Algorithm, 文本挖掘, 决策树学习, 数据预处理, 机器学习, 应用机器学习, 机器学习算法, 大数据
状态：免费试用New York University
您将获得的技能: 模型评估, 统计方法, Scikit-learn （机器学习库）, 预测建模, 监督学习, 强化学习, 逻辑回归, 应用机器学习, 金融, 张力流, Jupyter, 金融市场, 人工神经网络, 深度学习, 机器学习, 回归分析
状态：免费试用您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
状态：新状态：免费试用Board Infinity
您将获得的技能: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Advanced Data Science Techniques (with AWS Integration): Coursera
- 用 Python 进行会计机器学习: University of Illinois Urbana-Champaign
- Real-World Applications & Model Deployment in Java : Board Infinity
- Applied Information Extraction in Python: University of Michigan
- Machine Learning with Small Data Part 1: Northeastern University
- 科学中的机器学习模型: LearnQuest
- H2O 上的实用机器学习: H2O.ai
- Machine Learning for Marketers: University of Colorado System
- 机器学习分类: University of Washington
- 金融领域机器学习导览: New York University
