Regression Model 课程可以帮助您学习统计分析、假设检验和数据可视化技术。您可以掌握解释系数、评估模型拟合度和执行变量选择的技能。许多课程都会介绍 R、Python 和 Excel 等工具,这些工具支持实施回归技术和分析数据集。

您将获得的技能: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Model Training, Data Pipelines, Deep Learning, Cloud Deployment, Model Optimization, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Data Processing, Data Transformation
★ 3.4 (7) · 中级 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Preprocessing, Deep Learning, Artificial Neural Networks, Cloud Deployment, Data Pipelines, Data Processing, Applied Machine Learning, AI Workflows, Application Programming Interface (API)
中级 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Cleansing, Model Training, Data Transformation, Scalability, Data Pipelines, Deep Learning, Model Optimization, Cloud Deployment, Artificial Neural Networks, Machine Learning
中级 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Model Deployment, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Data Pipelines, Model Training, Embeddings, Cloud Deployment, Deep Learning, Data Transformation, Artificial Neural Networks, Model Optimization, Machine Learning Methods, Application Programming Interface (API)
中级 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Preprocessing, Artificial Neural Networks, Deep Learning, Cloud Deployment, Model Optimization, Embeddings, Data Pipelines, Data Transformation
中级 · 课程 · 1-3 个月

多位教师
您将获得的技能: 预测建模, 机器学习, Transfer Learning, 负责任的人工智能, 监督学习, 决策树学习, 分类算法, 无监督学习, 人工智能, 模型培训, 迁移学习, 机器学习方法, 深度学习, 机器学习算法, Model Evaluation, 模型评估, 张力流, Jupyter, 数据伦理, NumPy, 应用机器学习, Scikit Learn(机器学习库)
★ 4.9 (3.9万) · 初级 · 专项课程 · 1-3 个月

National Taiwan University
您将获得的技能: Revenue Management, Service Design, Customer experience improvement, Customer experience strategy (CX), Financial Services, Service Improvement, Service Management, Journey Mapping, Innovation, Experience Design, Case Studies, Business Modeling, Business Strategy, Consumer Behaviour, Business Economics
★ 4.8 (151) · 初级 · 课程 · 1-3 个月

IBM
您将获得的技能: 决策树学习, 降维, 机器学习, 预测建模, 监督学习, 预测分析, 分类算法, 无监督学习, 模型培训, 机器学习算法, 机器学习方法, Model Evaluation, 模型评估, 回归分析, 逻辑回归, 统计机器学习, Python 编程, Scikit Learn(机器学习库), 模型优化, 应用机器学习
★ 4.7 (1.8万) · 中级 · 课程 · 1-3 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, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Programming Principles
★ 4.7 (9.9万) · 初级 · 专业证书 · 3-6 个月

University of Pennsylvania
您将获得的技能: 模拟和模拟软件, 数学建模, 统计建模, 词汇, 业务建模, 数据建模, 预测分析, 预测建模, 概率, 概率分布, 业务分析, 逻辑回归, 回归分析, 预测, 风险分析, 模型优化, 统计方法
★ 4.6 (9362) · 混合 · 课程 · 1-4 周

IBM
您将获得的技能: 数据库, 数据可视化软件, 查询语言, 数据建模, 存储过程, 数据科学, 关系数据库, 云计算, 大数据, 数据扫盲, 数据预处理, 软件开发工具, GitHub, R 程序设计, R(软件), Jupyter, Python 编程, 数据挖掘, 模型部署
★ 4.6 (10万) · 初级 · 专项课程 · 3-6 个月

IBM
您将获得的技能: IBM 云计算, 机器学习, 数据科学, LangChain, 大型语言建模, 人工智能工作流程, 及时工程, 负责任的人工智能, 恢复性应用程序接口, 生成式人工智能, 计算机视觉, 软件架构, Prompt Engineering, 软件开发, 响应式网页设计, 编程原则, 提示模式, 数据伦理, Python 编程, 检索-增强生成, 软件开发生命周期
★ 4.7 (8.1万) · 初级 · 专业证书 · 3-6 个月