应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具,这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。

Northeastern University
您将获得的技能: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
中级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management
中级 · 课程 · 1-4 周

您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
中级 · 课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation
初级 · 课程 · 1-3 个月
University of Michigan
您将获得的技能: Python 程序设计, 图论, 社交网络分析, Algorithm, Matplotlib, 无监督学习, 网络分析, Pandas(Python 软件包), 数据导入/导出, 预测分析, 数据分析, 分析
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Python 程序设计, 数据操作, 图论, 数据可视化软件, 自然语言处理, 模型评估, 交互式数据可视化, NumPy, 功能工程, 监督学习, 文本挖掘, 应用机器学习, Matplotlib, 社交网络分析, 网络分析, Pandas(Python 软件包), 数据预处理, 数据可视化, 可视化(计算机制图), 科学可视化
中级 · 专项课程 · 3-6 个月

Sungkyunkwan University
您将获得的技能: Python 程序设计, 统计方法, 模型评估, Scikit-learn (机器学习库), 分类算法, 监督学习, 线性代数, 逻辑回归, 概率, 应用机器学习, 机器学习, 回归分析
混合 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
混合 · 课程 · 1-4 周
University of Michigan
您将获得的技能: Python 程序设计, 数据操作, 数据可视化软件, 散点图, NumPy, 数据展示, 制图, 交互式数据可视化, Pandas(Python 软件包), Matplotlib, 柱状图, 可视化(计算机制图), 统计可视化, 数据可视化, 科学可视化
中级 · 课程 · 1-4 周

您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
初级 · 专项课程 · 1-3 个月
University of Michigan
您将获得的技能: Python 程序设计, 数据操作, Scikit-learn (机器学习库), 自然语言处理, 分类算法, 监督学习, 文本挖掘, 无监督学习, Pandas(Python 软件包), 功能工程, 数据预处理
中级 · 课程 · 1-4 周