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。

Meta
您将获得的技能: 前端网络开发, 面向对象编程(OOP), Unix 命令, 版本控制, Python 程序设计, 数据结构, 还原式 API, Git(版本控制系统), 数据库管理系统, 计算机编程, 云托管, GitHub, 后端网站开发, 应用程序接口测试, SQL, 网页设计与开发, Bootstrap(前端框架), 全栈式网络开发, Django (网络框架), 关系数据库
攻读学位
初级 · 专业证书 · 3-6 个月

University of California San Diego
您将获得的技能: Algorithm, 数据存储, 图论, 计划发展, 软件测试, 网络分析, 开发测试, 编程原则, 计算思维, 生物信息学, 理论计算机科学, 测试案例, Python 程序设计, 计算机编程, Java, Javascript, 调试, C 和 C++, 拉斯特(编程语言), 数据结构
中级 · 专项课程 · 3-6 个月

Universidad de los Andes
您将获得的技能: Data Ethics, Predictive Modeling, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Decision Tree Learning, Data Preprocessing, Analytical Skills, Python Programming, Unsupervised Learning, Performance Metric
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Data Mapping, Root Cause Analysis, Performance Metric, Performance Analysis
初级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 统计假设检验, 探索性数据分析, 数据科学, 预测建模, 机器学习算法, 分类算法, 统计方法, Pandas(Python 软件包), 机器学习, 数据预处理, 数据结构, NumPy, Python 程序设计, 回归分析, 数据操作, Scikit-learn (机器学习库), 数据分析, 功能工程, 监督学习
初级 · 课程 · 1-4 周
您将获得的技能: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis
高级设置 · 课程 · 1-4 周
您将获得的技能: AI Security, Threat Modeling, MITRE ATT&CK Framework, Application Security, Security Engineering, Security Controls, Responsible AI, MLOps (Machine Learning Operations), Cybersecurity, Model Deployment, Data Security, Threat Detection, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Assessments, Application Lifecycle Management
中级 · 课程 · 1-4 周

University of Illinois Urbana-Champaign
您将获得的技能: 实时数据, 机器学习算法, 深度学习, 数据处理, 云计算, Apache Spark, 图论, 机器学习, 可扩展性, 大数据, 数据库, 数据存储, Apache Mahout, 分布式计算, NoSQL, Apache Kafka, 分析, Apache Hadoop
混合 · 课程 · 1-3 个月

您将获得的技能: Reinforcement Learning, Regulatory Compliance, Due Diligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Policy Analysis, Policy Development, Algorithms
中级 · 课程 · 1-4 周

您将获得的技能: Apache Mahout, NoSQL, Big Data, Databases, Real Time Data, Scalability, Distributed Computing, Data Persistence, Database Architecture and Administration, Model Evaluation, Data Integrity, Unstructured Data, Machine Learning Algorithms, Classification Algorithms
混合 · 课程 · 1-4 周

Real Madrid Graduate School Universidad Europea
您将获得的技能: Precision Medicine, Sports Medicine, Athletic Training, Rehabilitation, Responsible AI, Data Ethics, Injury Prevention, Augmented and Virtual Reality (AR/VR), AI Personalization, Health Systems, Exercise Science, Health Technology, Artificial Intelligence, Emerging Technologies, Healthcare Ethics, Machine Learning, Human Machine Interfaces, Predictive Modeling, Risk Management, Real Time Data
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
初级 · 课程 · 1-4 周