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: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
初级 · 指导项目 · 不超过 2 小时

Yonsei University
您将获得的技能: 语法, 语言能力, 口语理解, 语言学习, 词汇
初级 · 课程 · 1-3 个月

您将获得的技能: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing
中级 · 专项课程 · 3-6 个月
Illinois Tech
您将获得的技能: Health Informatics, Clinical Informatics, Technology Roadmaps, Patient Flow, Public Health, Innovation, Health Care, Health Systems, Healthcare Project Management, Systems Integration, Data Analysis, ICD Coding (ICD-9/ICD-10), Medical Terminology, Emerging Technologies, Data Management, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Regulatory Compliance, Natural Language Processing
中级 · 专项课程 · 1-3 个月

Google Cloud
您将获得的技能: 卷积神经网络, Keras(神经网络库), 深度学习, 机器学习, 张力流, 应用机器学习, 迁移学习, 图像分析
初级 · 项目 · 不超过 2 小时

您将获得的技能: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
初级 · 专项课程 · 1-3 个月

University of California San Diego
您将获得的技能: 数据可视化软件, 数据操作, 网页抓取, Python 程序设计, 分类算法, 模型评估, 机器学习算法, 模型部署, 机器学习, 预测建模, 预测分析, MLOps(机器学习 Operator), 功能工程, 数据可视化, 设计思维, 应用机器学习, 监督学习, Data Validation, Flask(网络框架), 数据处理
中级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: 负责任的人工智能, 数据分析, 数据架构, 战略决策, 自然语言处理, 大数据, 业务逻辑, 数字化转型, 管理团队, 生成式人工智能, 数据驱动的决策制定, AI 产品战略, 机器人, AI 赋能, 企业架构, 数据科学, 数据扫盲, 云计算, 数据挖掘, 信息架构
初级 · 专项课程 · 1-3 个月
Stanford University
您将获得的技能: Algorithm, Machine Learning 方法, 概率与统计, 统计方法, 机器学习算法, 抽样(统计), 统计推理, 计算思维, 马尔可夫模型, 概率分布, 图论, 贝叶斯网络, 应用机器学习
高级设置 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Prompt Patterns, Generative AI, Systems Analysis, AI Workflows, Business Analysis, Systems Architecture, Solution Architecture, Business Process Automation, Stakeholder Analysis, Real Time Data, Software Architecture, Consulting, AI Personalization, Systems Thinking, Responsible AI, Machine Learning, Project Documentation, Stakeholder Communications, Technical Consulting
初级 · 专项课程 · 1-3 个月

Snowflake
您将获得的技能: SQL, 数据操作, 数据库管理, 人工智能和机器学习(AI/ML), 数据管道, 数据存储, 基于角色的访问控制(RBAC), 应用程序开发, 存储过程, 生成式人工智能, 数据科学, 数据导入/导出, 数据仓库, 机器学习, 云计算开发, 数据工程, 摘录
初级 · 课程 · 1-4 周

Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
中级 · 专项课程 · 1-4 周