监督学习课程可以帮助您学习 Regression 分析、分类技术和模型评估方法。您可以掌握 Feature Selection、Hyperparameter 调整和理解偏差-方差权衡等方面的技能。许多课程都会介绍 Scikit-learn 和 TensorFlow 等 Python 库等工具,这些工具支持算法的实施和数据分析。

Alberta Machine Intelligence Institute
您将获得的技能: Python 程序设计, 机器学习, 回归分析, 数据处理, 机器学习算法, 业务解决方案, 分类与回归树 (CART), Scikit-learn (机器学习库), 功能工程, 性能指标, Jupyter, 应用机器学习, 监督学习, 性能分析
混合 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram
混合 · 课程 · 1-4 周

O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment
初级 · 课程 · 1-3 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

您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
中级 · 专业证书 · 3-6 个月

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm
初级 · 专项课程 · 1-3 个月

您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
高级设置 · 课程 · 1-3 个月

MathWorks
您将获得的技能: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 机器学习, Python 程序设计, 数据操作, 线性代数, 数据科学, 数学建模, 数据转换, 降维, NumPy, 应用数学, Machine Learning 方法
中级 · 课程 · 1-4 周
University of Michigan
您将获得的技能: Python 程序设计, 机器学习, 回归分析, 预测建模, 随机森林算法, 降维, 功能工程, 决策树学习, 应用机器学习, 监督学习, Scikit-learn (机器学习库), 无监督学习
中级 · 课程 · 1-4 周

您将获得的技能: 机器学习, Apache Hadoop, 生成式人工智能, 预测建模, 数据处理, 回归分析, 数据转换, PySpark, Apache Spark, 功能工程, 摘录, 应用机器学习, 监督学习, 数据管道, 无监督学习
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 机器学习, 应用程序部署, 持续部署, 持续监测, Data Validation, 软件开发生命周期, 数据质量, 功能工程, 数据管道, 应用机器学习, MLOps(机器学习 Operator)
中级 · 课程 · 1-4 周