机器学习课程可以帮助您学习算法、数据预处理、模型 Evaluation 和神经网络。您可以掌握回归分析、分类技术和聚类方法方面的技能。许多课程都会介绍 Python、TensorFlow 和 Scikit-learn 等工具,展示如何在实际应用中使用这些技术来实施机器学习解决方案。
University of Washington
您将获得的技能: 概率分布, 计算机科学, 数学建模, 监督学习, 强化学习, Matlab, 网络模型, 生物学, 生理学, 计算思维, 线性代数, Machine Learning 方法, 神经学, 递归神经网络 (RNN), 机器学习算法, 人工神经网络
初级 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
初级 · 课程 · 1-3 个月

University of London
您将获得的技能: 描述性统计, Matplotlib, 数据操作, Pandas(Python 软件包), 无监督学习, 机器学习, 数据分析, 概率与统计, 数据科学, Python 程序设计, 数据可视化, NumPy, 机器学习算法, 统计
初级 · 课程 · 1-3 个月

您将获得的技能: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning
中级 · 指导项目 · 不超过 2 小时

Wesleyan University
您将获得的技能: 模型评估, 数据叙事, 描述性统计, 机器学习, 数据操作, 分类与回归树 (CART), 逻辑回归, 数据分析, 回归分析, 数据管理, Data Management, 相关性分析, 统计分析, 决策树学习, 统计, 数据可视化, 统计软件, 探索性数据分析, 数据扫盲, 数据展示, 统计假设检验
初级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Google Gemini, Project Management, LLM Application, AI Enablement, Project Management Life Cycle, Case Studies, Team Oriented, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Project Documentation, AI Workflows, Deep Learning, Risk Management, Machine Learning
中级 · 专项课程 · 1-3 个月
您将获得的技能: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Data Validation, Unsupervised Learning, Data Manipulation, Benchmarking, Dimensionality Reduction, Cost Reduction
中级 · 课程 · 1-4 周
University of Illinois Urbana-Champaign
您将获得的技能: 商业分析, 模型评估, 无监督学习, 机器学习, 数据预处理, Scikit-learn (机器学习库), 监督学习, 分类算法, 回归分析, 商业智能, 应用机器学习, 决策树学习, Python 程序设计, 预测建模
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: Data Visualization, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Statistical Methods, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management
高级设置 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
中级 · 课程 · 1-4 周

您将获得的技能: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
初级 · 课程 · 3-6 个月