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。

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Model Evaluation, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Root Cause Analysis, Performance Metric, Performance Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
初级 · 指导项目 · 不超过 2 小时

Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Embeddings, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks
中级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: 客户体验战略(CX), 业务领导, 负责任的人工智能, Regulation and Legal Compliance, 生成式 AI 代理, 商业道德, 组织变革, 风险, 业务规划, AI 产品战略, 大型语言模型, 企业战略, 生成式人工智能, 业务转型, AI 安全, 战略思维, 客户洞察, AI 赋能, 数据伦理, 利益攸关方沟通
初级 · 专项课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: 故障分析, 调试, 文件系统, 计算机工程, 实时操作系统, 网络安全, 数据预处理, 物联网, 产品开发, 通用网络, 嵌入式软件, 数据分析, IBM 云, 嵌入式系统, 机器学习算法, 无线网络, 新产品开发, Model Based Systems Engineering(基于模型的系统工程, 分析, 大数据
攻读学位
中级 · 专项课程 · 3-6 个月

University of Minnesota
您将获得的技能: 机器学习, 线性代数, 模型评估, 降维, 机器学习算法, Algorithm, 应用机器学习
混合 · 课程 · 1-3 个月

您将获得的技能: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 生成对抗网络 (GAN), 机器学习, 图像质量, 模型评估, 负责任的人工智能, PyTorch(机器学习库), 生成式人工智能, 生成模型架构, 无监督学习, 数据伦理
中级 · 课程 · 1-4 周

您将获得的技能: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
中级 · 指导项目 · 不超过 2 小时

Real Madrid Graduate School Universidad Europea
您将获得的技能: Precision Medicine, Accident Prevention, Data Ethics, Kinesiology, Applied Machine Learning, AI Enablement, Bayesian Network, Child Development, Working With Children, Machine Learning, Data-Driven Decision-Making, Epidemiology, Continuous Monitoring, Load Balancing, Decision Support Systems, Emerging Technologies, Predictive Modeling, Health Education, Biomedical Engineering, Data Integration
初级 · 专项课程 · 3-6 个月