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。

National Taiwan University
您将获得的技能: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Linear Algebra, Data Transformation
中级 · 课程 · 1-3 个月

Board Infinity
您将获得的技能: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
中级 · 专项课程 · 1-3 个月

EDHEC Business School
您将获得的技能: 数据可视化软件, 投资管理, 投资回报, 投资, 文本挖掘, 风险管理, 投资组合风险, 财务, 机器学习方法, 财务报表分析, 网络分析, 财务数据, 网络抓取, 市场数据, 非结构化数据, 应用机器学习, 资产管理, 统计机器学习, 投资组合管理, 预测建模
初级 · 专项课程 · 3-6 个月

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy
中级 · 专项课程 · 3-6 个月
Johns Hopkins University
您将获得的技能: 数据整理, 数据清理, 数据共享, GitHub, 版本控制, 绘图(图形), 数据科学, 机器学习, 数据操作, 统计可视化, Knitr, 数据可视化, R 程序设计, 统计编程, 探索性数据分析, 统计分析, 数据处理, R(软件), Ggplot2, Rmarkdown
初级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Responsible AI, Vector Databases, Fine-tuning, Python Programming
初级 · 专业证书 · 3-6 个月

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software
中级 · 专业证书 · 3-6 个月

IBM
您将获得的技能: 数据伦理, 软件开发, 提示模式, 检索-增强生成, 软件架构, 机器学习, 及时工程, 数据科学, 生成式人工智能, 恢复性应用程序接口, 计算机视觉, 响应式网页设计, LangChain, 人工智能工作流程, ChatGPT, Python 编程, 负责任的人工智能, IBM 云计算, 软件开发生命周期, 大型语言建模, Prompt Engineering
攻读学位
初级 · 专业证书 · 3-6 个月

您将获得的技能: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation
中级 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing
中级 · 专业证书 · 3-6 个月

IBM
您将获得的技能: 大数据, 机器学习, 数据驱动决策, 数据科学, 云计算, 数据存储, 深度学习, 数据扫盲, 数据处理, 数据挖掘, 数字化转型
初级 · 课程 · 1-4 周

您将获得的技能: 迁移学习, 回归分析, 机器学习, 机器学习方法, 网络架构, 图像分析, 卷积神经网络, 自动编码器, 模型优化, Transfer Learning, 自然语言处理, 人工神经网络, 深度学习, Keras(神经网络库), 模型培训, 应用机器学习, 递归神经网络 (RNN)
中级 · 课程 · 1-3 个月