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。

The Cleveland Clinic Foundation
您将获得的技能: Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Practices, Health Technology, Biomedical Technology, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
初级 · 课程 · 1-4 周

您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: A/B 测试, 线性代数, 数据转换, 概率分布, 数学建模, 统计假设检验, Machine Learning 方法, 抽样(统计), 统计推理, 应用数学, 描述性统计, 统计分析, 概率, 概率与统计, 贝叶斯统计, 微积分, 数值分析, 机器学习, 降维, NumPy
中级 · 专项课程 · 1-3 个月

Imperial College London
您将获得的技能: 数据科学, 线性代数, Machine Learning 方法, Python 程序设计, 衍生产品, Algorithm, 应用数学, 统计, 概率与统计, 统计分析, 数据操作, 微积分, 回归分析, 机器学习, 高等数学, NumPy, Jupyter, 人工神经网络, 机器学习算法, 降维
初级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
高级设置 · 专项课程 · 3-6 个月

EDHEC Business School
您将获得的技能: 财务分析, 数据可视化软件, 风险管理, 风险分析, 网络分析, 投资管理, 非结构化数据, 文本挖掘, 财务数据, 社交网络分析, 资产管理, 市场数据, 投资组合管理, 机器学习, 高级分析, 投资回报, 金融建模, 网页抓取, 应用机器学习, 金融市场
初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 统计建模, 分类与回归树 (CART), Scikit-learn (机器学习库), 监督学习, 预测建模, 无监督学习, 决策树学习, 回归分析, 应用机器学习, 机器学习, 功能工程, 降维
中级 · 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

IBM
您将获得的技能: 统计建模, 统计推理, 数据科学, 统计假设检验, 数据分析, 数据访问, 监督学习, 分类与回归树 (CART), Scikit-learn (机器学习库), 预测建模, 数据质量, 无监督学习, 功能工程, 机器学习, 回归分析, 机器学习算法, 数据清理, 探索性数据分析, 应用机器学习, 降维
中级 · 专项课程 · 3-6 个月

Northeastern University
您将获得的技能: Natural Language Processing, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning, Unstructured Data, Supervised Learning, Linear Algebra, Probability Distribution
混合 · 课程 · 1-3 个月

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
中级 · 专项课程 · 3-6 个月