Python 机器学习课程可以帮助您学习数据操作、算法实现、模型评估和 Feature Selection。您可以掌握数据 Visualization、超参数调整和理解 Neural Network 的技能。许多课程都会介绍 TensorFlow、Scikit-learn 和 Pandas 等工具,这些工具支持将您的技能应用到实际项目中,使您能够创建预测模型并有效分析复杂的数据集。

Duke University
您将获得的技能: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
中级 · 专项课程 · 1-3 个月

University of California San Diego
您将获得的技能: Python 程序设计, 计算思维, 生物学, 生物信息学, 编程原则
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
中级 · 指导项目 · 不超过 2 小时

Coursera
您将获得的技能: Python 程序设计, 数据操作, JSON, 机器学习, 大型语言模型, 非结构化数据, 模型评估, 性能指标, 生成式人工智能, 数据预处理, OpenAI, OpenAI 应用程序接口, 实时数据
中级 · 指导项目 · 不超过 2 小时
您将获得的技能: Model Evaluation, Project Management Software, Technical Communication, Technical Product Management, Performance Metric, Agile Project Management, Data Analysis, Project Management, Analytics, Stakeholder Communications, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization
中级 · 课程 · 1-4 周

Stanford University
您将获得的技能: 机器学习, 非结构化数据, 模型评估, 医疗保健行业知识, 负责任的人工智能, 临床研究伦理, 健康信息学, 医疗保健, 医疗保健伦理, 人工智能, 卫生系统, 模型部署, 临床数据管理, 药品, 管理式医疗, 临床研究, 数据挖掘, 应用机器学习, 数据伦理, 功能工程
初级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning
中级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: 机器学习, 自然语言处理, 负责任的人工智能, 模型部署, 人工智能, 预测建模, 无代码开发, 计算机视觉, AI 工作流程, 微软 Azure
初级 · 课程 · 1-4 周

Edureka
您将获得的技能: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis
中级 · 专项课程 · 3-6 个月

Universidad Austral
您将获得的技能: Debugging, Programming Principles, Software Installation, Python Programming, Development Environment, Integrated Development Environments, Scripting Languages, Scripting, Computer Programming
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: 机器学习, 负责任的人工智能, Machine Learning 方法, 应用机器学习, 探索性数据分析, 数据战略, 数据伦理, AI 赋能, 生成式人工智能, 数据质量
中级 · 课程 · 1-4 周