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：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: Python 程序设计, 数据分析, 数据操作, 探索性数据分析, 生成式人工智能, 数据驱动的决策制定, 趋势分析, 销售策略, Prompt Engineering, 电子商务, ChatGPT, OpenAI
