
University of Washington
您将获得的技能: 机器学习, Python 程序设计, 深度学习, 预测建模, 回归分析, 文本挖掘, 应用机器学习, 人工智能, 分类与回归树 (CART), 功能工程, 计算机视觉, 监督学习, 数据挖掘, 自然语言处理, 图像分析
混合 · 课程 · 1-3 个月

IBM
您将获得的技能: 机器学习, Python 程序设计, 机器学习算法, 探索性数据分析, 回归分析, 人工神经网络, 数据分析, 应用机器学习, Keras(神经网络库), 数据展示, 无监督学习, 张力流, Scikit-learn (机器学习库), 监督学习
高级设置 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: Applied Machine Learning, Machine Learning, 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, Feasibility Studies, System Requirements, Solution Design
初级 · 课程 · 1-4 周

Pearson
您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring
中级 · 课程 · 1-4 周

The University of Chicago
您将获得的技能: 机器学习, 机器学习算法, 深度学习, 人工神经网络, Pandas(Python 软件包), 回归分析, 随机森林算法, 分类与回归树 (CART), 决策树学习, 降维, 统计方法, 应用机器学习, 功能工程, 无监督学习, 监督学习, 张力流, Scikit-learn (机器学习库)
中级 · 课程 · 1-3 个月

Fractal Analytics
您将获得的技能: 机器学习, 回归分析, 数据操作, 探索性数据分析, 异常检测, 预测建模, 应用程序部署, 机器学习算法, 数据处理, 数据清理, 统计建模, 决策树学习, 无监督学习, 应用机器学习, 监督学习, 功能工程
初级 · 课程 · 1-3 个月

您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
中级 · 专项课程 · 3-6 个月

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
中级 · 课程 · 3-6 个月

Wesleyan University
您将获得的技能: Python 程序设计, 机器学习, 回归分析, 预测建模, 探索性数据分析, 统计分析, 数据分析, 随机森林算法, 统计方法, 应用机器学习, 预测分析, 监督学习, 决策树学习, 功能工程, 分类与回归树 (CART), 数据挖掘, 无监督学习
混合 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric
中级 · 课程 · 1-3 个月

University of Minnesota
您将获得的技能: Python 程序设计, Algorithm, 线性代数, 降维, 数据分析, NumPy, 应用机器学习, 应用数学, Machine Learning 方法, 数值分析
中级 · 课程 · 1-3 个月

National Taiwan University
您将获得的技能: Feature Engineering, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis
中级 · 课程 · 3-6 个月