筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索应用机器学习课程目录
- 状态:免费试用
O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment
- 状态:免费
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
- 状态:免费试用
Stanford University
您将获得的技能: 监督学习, 数据伦理, 人工智能和机器学习(AI/ML), 机器学习算法, 健康信息学, 医疗保健行业知识, 医疗保健, 卫生政策, 人工神经网络, 数据处理, 医疗保健伦理, 应用机器学习, 医学科学与研究, 机器学习, 负责任的人工智能, 强化学习, 深度学习
- 状态:免费试用
您将获得的技能: Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Responsible AI, Performance Measurement, Predictive Modeling, Leadership and Management, Predictive Analytics, Data Processing, Fraud detection, Business Leadership, Business Transformation, Data-Driven Decision-Making, Business Priorities, Data Science
- 状态:免费试用
Wesleyan University
您将获得的技能: Python 程序设计, 分类与回归树 (CART), 统计分析, 回归分析, 决策树学习, 监督学习, 预测建模, 随机森林算法, 探索性数据分析, 数据分析, 数据挖掘, 应用机器学习, 预测分析, 功能工程, 机器学习, 统计方法, 无监督学习
- 状态:免费试用
University of Washington
您将获得的技能: 可扩展性, 分类与回归树 (CART), 监督学习, Algorithm, 自然语言处理, 预测建模, 机器学习算法, 功能工程, 文本挖掘, 大数据, 机器学习, 应用机器学习, 风险, 数据清理, 概率与统计
- 状态:免费试用
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence
- 状态:新状态:预览
Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms
您将获得的技能: 数据管道, 统计分析, 数据存储技术, Apache Spark, 数据科学, 机器学习算法, 数据处理, 统计机器学习, 应用机器学习, 大数据, 机器学习, PySpark
- 状态:免费试用
University of Illinois Urbana-Champaign
您将获得的技能: Python 程序设计, 统计分析, 回归分析, 监督学习, 预测建模, Pandas(Python 软件包), 自然语言处理, 机器学习算法, 功能工程, 时间序列分析和预测, 数据处理, 应用机器学习, 性能指标, Jupyter, 文本挖掘, 机器学习, Scikit-learn (机器学习库), 无监督学习
- 状态:新状态:免费试用
University of Michigan
您将获得的技能: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis
- 状态:免费试用
Alberta Machine Intelligence Institute
您将获得的技能: Python 程序设计, 统计分析, 计算机编程, 线性代数, 监督学习, 数据转换, 预测建模, 验证和确认, 探索性数据分析, 数据质量, 机器学习算法, 功能工程, 机器学习, 测试数据, 应用机器学习, Machine Learning 方法, 数据处理, 数据清理, 无监督学习, 数据验证
总之,以下是 10 最受欢迎的 applied machine learning 课程
- Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
- Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
- 医疗保健机器学习基础: Stanford University
- Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership: SAS
- 数据分析机器学习: Wesleyan University
- 机器学习分类: University of Washington
- Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
- Statistical Learning for Engineering Part 1: Northeastern University
- 使用 Apache Spark 在大数据上进行可扩展机器学习: IBM
- 用 Python 进行会计机器学习: University of Illinois Urbana-Champaign