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。

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

Alberta Machine Intelligence Institute
您将获得的技能: 模型评估, 分类算法, 负责任的人工智能, 模型部署, 数据伦理, MLOps(机器学习运营), 数据预处理, 产品生命周期管理, 机器学习, 数据清理, 项目管理, 功能工程, 机器学习算法, 决策树学习, 业务运营, 数据质量, 应用机器学习, Jupyter, 监督学习, 数据验证
中级 · 专项课程 · 3-6 个月

您将获得的技能: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
初级 · 专项课程 · 1-3 个月

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

您将获得的技能: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning
初级 · 专项课程 · 1-3 个月

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

Imperial College London
您将获得的技能: Python 编程, 数据预处理, 算法, 降维, 无监督学习, 应用数学, 统计资料, 线性代数, 回归分析, 衍生产品, 微积分, 功能工程, 机器学习算法, NumPy, 高等数学, Jupyter, 人工神经网络, 数学建模
初级 · 专项课程 · 3-6 个月

EDHEC Business School
您将获得的技能: 数据可视化软件, 投资组合风险, 网络分析, 投资, 机器学习方法, 非结构化数据, 机器学习, 文本挖掘, 投资管理, 投资回报, 应用机器学习, 资产管理, 投资组合管理, 预测建模, 社交网络分析, 网络抓取, 财务报表, 财务建模, 风险管理, 金融市场
初级 · 专项课程 · 3-6 个月

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

Google Cloud
您将获得的技能: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
中级 · 专项课程 · 3-6 个月

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
中级 · 课程 · 1-4 周

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