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。

您将获得的技能: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
中级 · 专项课程 · 3-6 个月

Amazon Web Services
您将获得的技能: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
初级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
中级 · 课程 · 1-3 个月
Johns Hopkins University
您将获得的技能: 机器学习, 模型评估, 数据科学, 数据清理, 数据操作, GitHub, 交互式数据可视化, 绘图(图形), R 语言程序设计(中文版), 回归分析, Plotly, Rmarkdown, 版本控制, 闪亮(R 套件), 统计推理, 统计分析, 预测建模, 统计假设检验, 探索性数据分析, 机器学习算法
初级 · 专项课程 · 3-6 个月
您将获得的技能: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: 机器学习, 数据科学, 数据分析, 数据管理, Data Management, 统计推理, 项目设计, 性能指标, 软件工程, 数据驱动的决策制定
初级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming
初级 · 指导项目 · 不超过 2 小时

DeepLearning.AI
您将获得的技能: 嵌入, 自然语言处理, 文本挖掘, 深度学习, 递归神经网络 (RNN), 张力流, 人工神经网络, 应用机器学习
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google 云端平台, 无监督学习, 机器学习, 嵌入, 数据预处理, 人工智能和机器学习(AI/ML), 强化学习, 深度学习, 功能工程, 应用机器学习, Machine Learning 方法, 机器学习算法, AI 个性化服务, 人工神经网络, Algorithm
高级设置 · 课程 · 1-3 个月
Alberta Machine Intelligence Institute
您将获得的技能: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 卷积神经网络, 深度学习, 自动编码器, 迁移学习, 生成模型架构, 张力流, 生成对抗网络 (GAN), 生成式人工智能, 图像分析, 人工神经网络
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