机器学习专业级 Certification
构建、评估并部署机器学习模型
Key facts
- Level: Professional
- Field: Data & AI
- Estimated study time: about 40 hours
- Credential price: $149
- Exam: 100 questions · 180 minutes · pass mark 75%
About the 机器学习专业级 certification
面向端到端构建、评估和运营机器学习系统的从业者的专业级认证。课程涵盖完整的应用机器学习工作流：问题建模、诚实地划分数据、特征工程与缩放，以及为任务选择合适的算法。你将掌握监督学习工具集——线性回归与逻辑回归、决策树、随机森林、梯度提升与XGBoost、SVM、k近邻及朴素贝叶斯——以及无监督学习工具集，包括k-means、层次聚类与DBSCAN聚类，以及PCA与t-SNE降维。认证深入讲解那些将从业者与教程跟学者区分开来的核心理念：偏差-方差权衡、过拟合与正则化（L1/L2、Dropout）、无泄漏的交叉验证，以及选择与业务成本相匹配的指标——准确率、精确率、召回率、F1、ROC-AUC、对数损失、RMSE/MAE/R²——包括读懂混淆矩阵和ROC曲线。课程随后帮助你完成部署：处理类别不平衡、使用网格搜索/随机搜索/贝叶斯搜索调整超参数、构建集成模型（Bagging、Boosting、Stacking）、使用特征重要性与SHAP解释模型，以及在生产环境中运行模型，包括版本控制、部署、监控、漂移检测、机器学习CI/CD与特征存储。负责任AI的公平性与数据泄漏这一永恒陷阱贯穿全程。这是从「了解什么是机器学习」到「被信任将模型推向真实用户」之间的桥梁。
What you will learn
The official 机器学习专业级 study course covers:
- The ML Workflow & Problem Framing — How a machine-learning project really runs: the end-to-end lifecycle, the supervised/unsupervised/reinforcement split, and choosing the right task ty…
- The Supervised Algorithm Toolkit — From linear and logistic regression through trees, random forests, gradient boosting/XGBoost, SVM, kNN, and naive Bayes — and how to choose.
- Unsupervised Learning & Feature Engineering — Clustering (k-means, hierarchical, DBSCAN), dimensionality reduction (PCA, t-SNE), and the feature engineering, scaling, and selection that make mode…
- Evaluation, Bias-Variance & Metrics — Honest validation, the bias-variance tradeoff and regularization, and choosing the metric that matches the cost — with worked confusion-matrix and RO…
- Tuning, Ensembles & Optimization — Class-imbalance handling, hyperparameter search, ensembles (bagging/boosting/stacking), gradient descent, neural-network basics, and interpretability.
- Shipping Models — MLOps & Responsible AI — Production ML: versioning, deployment, monitoring and drift, CI/CD and feature stores, NLP and time-series essentials, and responsible-AI fairness.
Prerequisites
Frequently asked questions
- Is the 机器学习专业级 certificate verifiable?
- Yes. Every issued Hootix Academy certificate carries a unique credential code that anyone can verify online.
- How is the 机器学习专业级 exam structured?
- It is a 180-minute proctored multiple-choice exam of 100 questions; you need 75% to pass.
- Do I need to buy the course to take the exam?
- You can purchase the certification exam on its own, or bundle it with the full study course at a reduced price.
- How long does the 机器学习专业级 course take?
- About 40 hours of self-paced study.