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。

University of Colorado System
您将获得的技能: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Performance Reporting, Predictive Analytics, Fraud detection, Business Leadership, Strategic Leadership, Data Science
初级 · 课程 · 1-4 周

Fractal Analytics
您将获得的技能: Algorithm, 监督学习, 模型评估, 决策树学习, 回归分析, 分类算法, 预测建模, 功能工程, 应用机器学习, 机器学习算法, 随机森林算法, 性能调整
初级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Supervised Learning, Model Evaluation
混合 · 课程 · 1-3 个月

Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

New York University
您将获得的技能: 逻辑回归, 张力流, 监督学习, 机器学习, 模型评估, 人工神经网络, 深度学习, 统计方法, 强化学习, 预测建模, 金融, 回归分析, 应用机器学习, Scikit-learn (机器学习库), 金融市场, Jupyter
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 逻辑回归, 数据科学, 无监督学习, Algorithm, 监督学习, 卷积神经网络, 决策树学习, 模型评估, 自然语言处理, 深度学习, 机器学习, 预测分析, 回归分析, 分类与回归树 (CART), 计算机视觉, 人工智能和机器学习(AI/ML), 随机森林算法
中级 · 课程 · 1-3 个月

University of Michigan
您将获得的技能: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis
高级设置 · 课程 · 1-4 周

您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
混合 · 课程 · 1-4 周

Edureka
您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
中级 · 课程 · 1-4 周

University of Washington
您将获得的技能: 概率与统计, 可扩展性, 逻辑回归, Algorithm, 决策树学习, 自然语言处理, 模型评估, 机器学习, 分类算法, 文本挖掘, 预测建模, 数据预处理, 监督学习, 应用机器学习, 大数据, 机器学习算法
混合 · 课程 · 1-3 个月