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。

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

Johns Hopkins University
您将获得的技能: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Threat Detection, Network Analysis, Cybersecurity, System Design and Implementation, Network Security, Machine Learning Software, Machine Learning Methods, Performance Testing, Machine Learning Algorithms, Machine Learning, Supervised Learning, Microsoft Windows
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Anomaly Detection, Generative AI, Fraud detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Security Strategy, Threat Modeling, Email Security, System Design and Implementation, Network Security, Jupyter, Authentications, Deep Learning, Machine Learning Software
中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Supervised Learning, Unsupervised Learning, 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), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
中级 · 课程 · 1-4 周

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

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

AI CERTs
您将获得的技能: Responsible AI, Tensorflow, PyTorch (Machine Learning Library), Internet Of Things, Real Time Data, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Telecommunications, Artificial Intelligence, Emerging Technologies, Generative AI, Wireless Networks, Generative AI Agents, Network Performance Management, Network Architecture, Digital Communications, Network Protocols, Computer Networking, System Design and Implementation, Communication
高级设置 · 专项课程 · 1-3 个月

LearnQuest
您将获得的技能: Technical Communication, Generative AI Agents, Data Integration, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Business Transformation, Responsible AI, System Design and Implementation, Application Deployment, Artificial Intelligence, Solution Design, Cloud Computing, Deep Learning, Data Visualization, Python Programming, Machine Learning, Data Engineering, Anomaly Detection, Statistical Analysis
初级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: Intrusion Detection and Prevention, Incident Response, Threat Detection, Endpoint Detection and Response, Computer Security Incident Management, Cyber Threat Intelligence, Distributed Denial-Of-Service (DDoS) Attacks, Anomaly Detection, Cybersecurity, Cyber Security Strategy, Threat Management, Continuous Monitoring, System Monitoring, Virtual Machines, Network Security, Event Monitoring, Network Monitoring, Applied Machine Learning, Network Analysis, Data Analysis
中级 · 专项课程 · 3-6 个月

University of Illinois Urbana-Champaign
您将获得的技能: 统计分析, 数据可视化软件, 散点图, 文本挖掘, 无监督学习, 非结构化数据, 绘图(图形), 交互式数据可视化, 分析, 仪表板, 数据叙事, 异常检测, 数据可视化, 自然语言处理, 大数据, 制图, 数据挖掘, 数据展示, Tableau 软件, 数据映射
中级 · 专项课程 · 3-6 个月

您将获得的技能: Image Analysis, Tensorflow, Amazon Web Services, Cloud Applications, Application Development, Application Deployment, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Processing, Front-End Web Development
混合 · 课程 · 1-4 周

您将获得的技能: Intrusion Detection and Prevention, Incident Response, Computer Security Incident Management, Threat Detection, Security Information and Event Management (SIEM), Continuous Monitoring, Network Security, Network Monitoring, Splunk, Network Analysis, Network Protocols, Technical Documentation, Query Languages
初级 · 课程 · 1-4 周
异常检测是数据挖掘中的一个重要过程,它能找出特定数据集中的复杂、不规则模式和异常值。 该过程可以识别出偏离该数据集预期正常行为的事件。 该过程可以找出各种问题,小到软件或硬件错误、故障和黑客攻击,大到严重的机器漏洞和关键的零日攻击。
如果您打算从事机器学习和人工智能(AI)领域的工作,学习异常检测知识非常重要。 异常检测是一种重要的安全工具,可以识别重大欺诈、网络入侵和其他可能严重破坏企业或整个行业技术交付系统的事件。
通过学习异常检测知识,您可以在银行、金融服务、保险、零售、制造、IT、政府和国防以及医疗保健等各类领域找到工作。 学习异常检测的目的可能是成为数据科学家、大数据工程师、机器学习开发人员或欺诈检测分析师。 在许多需要对数据源进行监控以防范潜在安全威胁和攻击的公司中,学习这一课程能为您带来更多机会。 如果您学习的是异常检测专业,您还可以在那些需要法务会计师和欺诈检测工程师来发现异常活动(有时是可疑活动)的公司找到工作。
在线课程可以帮助您更好地掌握机器学习(包括深度学习)的广泛主题,从而学习异常检测。 在线学习异常检测可能会让您掌握最前沿的技能,教您使用深度学习和先进技术(如 Keras API 与 Tensorflow 2)构建异常检测模型。 您还可能学习如何使用 Plotly Python 和 Seaborn 创建数据可视化的交互式图表和绘图。
在线异常检测课程提供了一种方便灵活的方式来提高您的现有知识或学习新的异常检测技能。 异常检测课程种类繁多,您可以方便地按照自己的进度学习,从而提升异常检测职业生涯。