异常检测课程
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。
热门异常检测课程和认证
状态：免费试用University of Michigan
您将获得的技能: Machine Learning 方法, 数据分析, Scikit-learn （机器学习库）, 监督学习, 机器学习算法, Python 程序设计, 预测分析, 分析, 预测建模, 分类与回归树 (CART), 统计机器学习, 应用机器学习, 随机森林算法, 机器学习, 功能工程
状态：新状态：免费试用您将获得的技能: Penetration Testing, Metasploit, Vulnerability Scanning, Exploitation techniques, Vulnerability Assessments, Cyber Security Assessment, Cyber Threat Intelligence, Generative AI, Cyber Operations, Data Ethics, Prompt Engineering, Automation
状态：免费试用IBM
您将获得的技能: 数据分析, 线性代数, Scikit-learn （机器学习库）, NumPy, 数据科学, 自然语言处理, 机器学习算法, 文本挖掘, 降维, 功能工程, 统计机器学习, 大数据, 无监督学习, Algorithm, 机器学习, 数据挖掘
状态：免费试用您将获得的技能: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart
状态：免费试用Johns Hopkins University
您将获得的技能: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning
状态：新状态：免费试用您将获得的技能: Splunk, Lightweight Directory Access Protocols, System Monitoring, Scripting, Dashboard, Business Intelligence, Scatter Plots, Pivot Tables And Charts, Servers, Data-Driven Decision-Making, Software Installation, Role-Based Access Control (RBAC), Data Pipelines, Authentications, Unstructured Data, Data Visualization Software, Data Visualization, Network Troubleshooting, Data Storage, Data Management
状态：免费试用您将获得的技能: Prompt Engineering, ChatGPT, Data Validation, LLM Application, Data Analysis, OpenAI, Data-Driven Decision-Making, Analytical Skills, Natural Language Processing
您将获得的技能: 数据操作, 数据分析, Prompt Engineering, 生成式人工智能, Python 程序设计, 数据驱动的决策制定, 电子商务, 探索性数据分析, 趋势分析, 销售策略, ChatGPT, OpenAI
状态：免费试用Vanderbilt University
您将获得的技能: 文件管理, 人工智能, 数据分析, Prompt Engineering, 数据展示, 数据处理, 信息管理, 解决问题, 自动化, ChatGPT, 创造力
状态：新状态：免费试用Google
您将获得的技能: Data Ethics, Data Quality, Data Sharing, Information Privacy, Data Analysis, Informed Consent
与 anomaly detection 相关的搜索
总之，以下是 10 最受欢迎的 anomaly detection 课程
- 体育分析中的机器学习入门: University of Michigan
- Generative AI for Penetration Testing: Red Team: LearnQuest
- 无监督机器学习: IBM
- Data Collection and Root Cause Analysis: SkillUp
- Advanced Methods in Machine Learning Applications: Johns Hopkins University
- Splunk Analytics & Visualization: From Data to Insights: EDUCBA
- Advanced Data Analysis with ChatGPT: Coursera
- 使用 OpenAI API 进行数据分析：使用 GenAI 节省时间: Coursera
- ChatGPT 高级数据分析: Vanderbilt University
- Data Responsibility: Google
