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
“barcoding” 的结果
状态：新状态：免费试用您将获得的技能: LLM Application, Data Storage Technologies, Databases, NoSQL, Data Storage, Query Languages, Artificial Intelligence, Database Architecture and Administration, Applied Machine Learning, Information Management, Generative AI
状态：预览您将获得的技能: Matplotlib, Plot (Graphics), Statistical Visualization, Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Scatter Plots, Jupyter, Histogram, Box Plots, Graphing, Computer Programming, Integrated Development Environments, Animations
状态：新状态：预览您将获得的技能: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing
状态：预览The Chinese University of Hong Kong
您将获得的技能: 电信, 通信系统, 数字通信, 理论计算机科学, 概率, 普通数学, 信息学, Algorithm, 概率分布
状态：免费试用您将获得的技能: Google Gemini, Generative AI, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Natural Language Processing
您将获得的技能: Image Analysis, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Processing, Performance Tuning, Regression Analysis
状态：预览Coursera Instructor Network
您将获得的技能: Seaborn, Data Storytelling, Statistical Visualization, Data Visualization, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
状态：免费试用Johns Hopkins University
您将获得的技能: 面向对象编程（OOP）, 数据结构, Python 程序设计, 数据操作, 软件包和软件管理, 编程原则, 文件管理, 脚本, 生物信息学, Jupyter, 数据处理
状态：新您将获得的技能: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Data Pipelines, Google Cloud Platform, Algorithms
状态：预览Icahn School of Medicine at Mount Sinai
您将获得的技能: 交互式数据可视化, 应用编程接口 (API), 数据分析, 数据科学, 监督学习, 无监督学习, 细胞生物学, 机器学习, 还原式 API, 生物信息学, 元数据管理, 大数据, 数据整合, 分子生物学
Coursera Project Network
您将获得的技能: Student Engagement, Interactive Learning, Classroom Management, Instructional Strategies, Education Software and Technology, Barcoding, Account Management, Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Processing, Data Cleansing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
总之，以下是 10 最受欢迎的 barcoding 课程
- Vector Databases for RAG: An Introduction: IBM
- Visualizing Data & Communicating Results in Python: Codio
- H2O Label Genie Starter Track: H2O.ai
- 信息理论: The Chinese University of Hong Kong
- Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
- Mastering Image Segmentation with PyTorch: Packt
- Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera Instructor Network
- 基因组数据科学 Python: Johns Hopkins University
- Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery: Google Cloud
- 利用 BD2K-LINCS 数据协调和集成中心进行大数据科学研究: Icahn School of Medicine at Mount Sinai
