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。

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
中级 · 专业证书 · 3-6 个月

您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
中级 · 专项课程 · 1-3 个月

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

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Data Preprocessing, Predictive Analytics, Data Manipulation, Data Visualization
中级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
攻读学位
中级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, 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), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
中级 · 课程 · 1-4 周

University of Washington
您将获得的技能: 模型评估, 分类算法, 机器学习, 数据预处理, 贝叶斯统计, 无监督学习, 深度学习, 人工智能, 计算机视觉, 统计机器学习, 预测建模, 决策树学习, 回归分析, 功能工程, 统计建模, 图像分析, 应用机器学习, 数据挖掘, 逻辑回归, 监督学习
中级 · 专项课程 · 3-6 个月

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

您将获得的技能: Feature Engineering, Decision Tree Learning, Supervised Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Random Forest Algorithm, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Performance Tuning, Classification Algorithms
高级设置 · 课程 · 1-3 个月

您将获得的技能: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 模型评估, 调试, MLOps(机器学习运营), 模型部署, 云部署, 持续监测, 数据预处理, 机器学习, 应用机器学习, 功能工程, 数据验证, 数据质量, 持续部署, 数据管道
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: 模型评估, 分类算法, 探索性数据分析, 数据整理, 数据预处理, R 程序设计, 机器学习, 预测建模, 回归分析, 预测分析, 机器学习算法, 应用机器学习, 随机森林算法, 统计机器学习, 功能工程, 监督学习
混合 · 课程 · 1-4 周