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：预览您将获得的技能: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, R Programming, Data Visualization
状态：免费试用您将获得的技能: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
状态：预览Johns Hopkins University
您将获得的技能: Python 程序设计, 应用数学, 数学软件, 数值分析, 积分微积分, 微积分, 编程原则, 数学建模, 衍生产品, 制图, 高等数学
您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
状态：免费试用University of Colorado System
您将获得的技能: Algorithm, 网络安全, 密码学, 公钥基础设施, 应用数学, 公钥加密标准（PKCS）, Authentication, 数据完整性, Encryption, 概率, 计算机科学, 暴力攻击, 数据加密标准, 算术, 关键管理, 高级加密标准（AES）
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Deployment, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Applied Machine Learning, Machine Learning, Data Processing
状态：免费Amazon Web Services
您将获得的技能: Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Data-Driven Decision-Making, AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps
状态：新状态：免费试用您将获得的技能: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
您将获得的技能: 数据科学, 分布式计算, 统计方法, Apache Spark, PySpark, 机器学习, 数据存储技术, Machine Learning 方法, 数据存储, 大数据, 数据处理, 机器学习算法, 数据预处理, 描述性统计, 应用机器学习, 模型评估
状态：预览Siemens
您将获得的技能: 数值分析, 热管理, 模拟, 科学可视化, 工程计算, 数学建模, 物理学, 工程分析, 化学工程, 机械工程
您将获得的技能: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
Google Cloud
您将获得的技能: Apache Spark, 逻辑回归, 大数据, 应用机器学习, 预测建模, 数据预处理, Google 云端平台, 模型评估
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Data and Machine Learning for Technical Product Managers: Coursera
- Fundamentals of AI, Machine Learning, and Python Programming: Packt
- 使用 Python 的应用微积分: Johns Hopkins University
- Regression Analysis for Statistics & Machine Learning in R: Packt
- 应用密码学入门: University of Colorado System
- Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
- Introduction to Machine Learning: Art of the Possible: Amazon Web Services
- No-Code Machine Learning and Data Science for Everyone: LearnQuest
- 使用 Apache Spark 在大数据上进行可扩展机器学习: IBM
- 应用计算流体力学: Siemens
