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 Washington
您将获得的技能: 自然语言处理, Python 编程, 模型评估, 机器学习, 人工智能, 回归分析, 监督学习, 应用机器学习, 文本挖掘, 图像分析, 功能工程, 无监督学习, 分类算法, 深度学习, Model Evaluation, 计算机视觉, 数据预处理, 应用程序开发, 预测建模
混合 · 课程 · 1-3 个月

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

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

您将获得的技能: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Debugging, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
中级 · 专项课程 · 3-6 个月

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

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

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

您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
中级 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
中级 · 专项课程 · 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