您将获得的技能: 计算机视觉, 卷积神经网络, 机器学习, 逻辑回归, 自然语言处理, 无监督学习, 监督学习, PyTorch（机器学习库）, 深度学习, 迁移学习, 医学影像, 强化学习, Python 程序设计, 图像分析, 递归神经网络 (RNN), 应用机器学习, 人工神经网络

您将获得的技能: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

您将获得的技能: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI

您将获得的技能: 数据操作, 功能设计, R 语言程序设计（中文版）, 调试, 面向对象编程（OOP）, 编程原则, 性能调整, 性能测试, 软件设计模式, 数据结构

您将获得的技能: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

您将获得的技能: 概率分布, 数据分析, R 语言程序设计（中文版）, 统计建模, 回归分析, 统计方法, 贝叶斯统计, 统计推理, 统计分析, 概率

您将获得的技能: Pivot Tables And Charts, Dashboard, Data Presentation, Data Visualization, Spreadsheet Software, Data Storytelling, Data Visualization Software, Excel Formulas, Data Analysis, Data-Driven Decision-Making, Data Cleansing, Data Validation

您将获得的技能: 统计建模, 数据预处理, 磁共振成像, 医学影像, 统计推理, 统计分析, 实验, 统计, 神经学, 研究设计, 图像分析

您将获得的技能: Prompt Engineering, Anthropic Claude, Generative AI, Artificial Intelligence, Application Development, Application Programming Interface (API), Authentications, Context Management, User Interface and User Experience (UI/UX) Design, Content Creation, Customer Service

您将获得的技能: 模型评估, 卷积神经网络, 数据科学, 计算机视觉, 逻辑回归, 分类与回归树 (CART), 机器学习, 监督学习, 自然语言处理, 人工智能和机器学习（AI/ML）, 随机森林算法, 回归分析, 深度学习, 预测分析, 决策树学习, 无监督学习, Algorithm

您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

您将获得的技能: 卷积神经网络, 模型评估, 计算机视觉, 分类算法, 网络架构, 深度学习, 迁移学习, 功能工程, Machine Learning 方法, 机器学习算法, 可视化（计算机制图）