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找到最适合您目标的 IBM 课程
- 状态:免费试用
IBM
您将获得的技能: 统计建模, 预测建模, 监督学习, 机器学习, 回归分析, 统计分析, 性能指标, 分类与回归树 (CART), Scikit-learn (机器学习库), 功能工程
- 状态:免费试用
您将获得的技能: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning
- 状态:免费试用
您将获得的技能: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Computer Vision, Data Science, Python Programming
- 状态:免费试用
您将获得的技能: Prompt Engineering, 数据分析, 预测建模, 探索性数据分析, 数据综合, 数据科学, 数据可视化软件, 功能工程, 生成式人工智能, 数据伦理, 自然语言处理, 负责任的人工智能
- 状态:免费试用
您将获得的技能: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming
- 状态:免费试用
IBM
您将获得的技能: 统计建模, 机器学习算法, 数据清理, 预测建模, 数据操作, 监督学习, 抽样(统计), 回归分析, 机器学习, 性能指标, 随机森林算法, 数据处理, 应用机器学习, Scikit-learn (机器学习库), 分类与回归树 (CART), 商业分析, 功能工程
- 状态:免费试用
您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming
- 状态:免费试用
University of London
您将获得的技能: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
- 状态:预览
Board Infinity
您将获得的技能: Responsible AI, Debugging
- 状态:免费试用
您将获得的技能: SQL, 数据分析, 数据库, 数据建模, 数据科学, R 语言程序设计(中文版), 数据操作, 数据库管理系统, 数据库管理, 关系数据库, 数据访问, 数据分析软件, Query 语言, 数据库设计
- 状态:免费试用
IBM
您将获得的技能: 数据清理, 数据分析, 探索性数据分析, 数据整理, 数据收集, 仪表板, 微软Excel, IBM Cognos 分析, 数据挖掘, 数据质量, 数据可视化软件, 透视表和图表
- 状态:新状态:预览
您将获得的技能: Unsupervised Learning, SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Mining, Data Cleansing, Data Analysis, Data Manipulation, Statistical Methods
总之,以下是 10 最受欢迎的 ibm 课程
- 有监督的机器学习:回归: IBM
- AI Workflow: Data Analysis and Hypothesis Testing: IBM
- AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
- 生成式人工智能:提升你的数据科学职业生涯: IBM
- AI Workflow: AI in Production: IBM
- 有监督的机器学习:分类: IBM
- AI Workflow: Feature Engineering and Bias Detection: IBM
- Statistics and Clustering in Python: University of London
- Generative AI: Prompt Engineering Basics: Board Infinity
- 使用 R 的数据科学 SQL: IBM