Anomaly Detection 课程可以帮助您学习统计方法、Machine Learning 技术和数据预处理策略。您可以培养识别 Outlier、实施 Cluster Analysis 算法和应用 Time Series 分析的技能。许多课程都会介绍 Scikit-learn 和 TensorFlow 等 Python 库等工具以及用于数据 Visualization 的软件,从而提高您分析和解释复杂数据集的能力。

Johns Hopkins University
您将获得的技能: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Cyber Threat Hunting, Threat Detection, Network Analysis, AI Security, Applied Machine Learning, Model Evaluation, Network Security, Unsupervised Learning, Performance Testing, Analysis, Classification Algorithms, Microsoft Windows
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Predictive Analytics, Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Data Quality, Performance Measurement, Applied Machine Learning, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
中级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter
中级 · 专项课程 · 3-6 个月
您将获得的技能: Anomaly Detection, Microsoft Azure, Event Monitoring, Application Performance Management, Time Series Analysis and Forecasting, Generative AI, Query Languages, Data Integration, Process Optimization, Data Analysis, User Feedback
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
中级 · 课程 · 1-4 周

您将获得的技能: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 异常检测, 数据伦理, 深度学习, 机器学习, 无监督学习, 算法, 降维, 人工智能, 强化学习, 监督学习, 人工神经网络
初级 · 课程 · 1-4 周

Macquarie University
您将获得的技能: Cyber Security Strategy, Cyber Threat Intelligence, Intrusion Detection and Prevention, Cybersecurity, Artificial Intelligence and Machine Learning (AI/ML), Threat Modeling, Machine Learning Methods
中级 · 课程 · 1-3 个月

Edureka
您将获得的技能: Cyber Threat Intelligence, Cyber Operations, Cyber Threat Hunting, Threat Modeling, Cybersecurity, Cyber Security Strategy, Network Security, MITRE ATT&CK Framework, Intrusion Detection and Prevention, Cyber Attacks, Linux Commands, Linux, Cyber Engineering, Network Administration, Operating System Administration, Hardening, Network Monitoring, Exploitation techniques, Security Awareness, Operating Systems
中级 · 专项课程 · 3-6 个月

您将获得的技能: Fraud detection, Generative AI, Responsible AI, Regulatory Requirements, Compliance Management, Governance, Risk Management, Data Ethics, Anomaly Detection, Artificial Intelligence, AI Enablement, Model Evaluation, Forecasting
中级 · 课程 · 1-4 周

您将获得的技能: Image Analysis, Data Cleansing, Quality Assurance, Quality Assessment, Packaging and Labeling, Data Pipelines
中级 · 课程 · 1-4 周
异常检测是数据分析中的一个关键过程,它可以识别数据中不符合预期行为的模式。这项技术在金融、医疗保健、网络安全和制造业等各个领域都非常重要,因为它可以帮助企业检测欺诈行为、监控系统健康状况并确保安全。通过识别异常情况,企业可以采取积极措施来降低风险和改进决策。
有几门在线课程可以帮助您学习异常检测。值得注意的选项包括高级恶意软件和网络异常检测课程(侧重于网络安全应用)和入侵检测专项课程(涵盖检测系统中未经授权访问的各个方面)。这些课程为对该领域感兴趣的人提供了宝贵的见解和实用技能。
是的,您可以通过两种方式在 Coursera 上免费开始学习 Anomaly Detection:
如果您想继续学习、获得 Anomaly Detection 证书或在预览或试用后解锁全部课程访问权限,您可以升级或申请经济援助。
要学习异常检测,首先要学习涵盖数据分析和统计基础知识的入门课程。进而学习更多侧重于机器学习技术及其在异常检测中的应用的专项课程。参与实践项目以应用所学知识,并考虑加入在线社区或论坛,与该领域的其他人员建立联系,以获得支持和资源。
要对员工进行异常检测方面的培训和技能提升,可以考虑开设网络安全预防和检测专项课程等课程,全面介绍包括异常检测技术在内的安全措施。此外,Gen AI for Fraud Detection Analytics课程可以为使用 AI 检测欺诈活动提供有价值的见解,因此适合劳动力发展。