您将获得的技能: 统计假设检验, 概率分布, 贝叶斯统计, 数据分析, 统计, 统计方法, 统计分析, 样本量的确定, 统计建模, 抽样（统计）, 统计推理, 概率与统计, 概率

您将获得的技能: 机器学习, 云计算, MLOps（机器学习 Operator）, Devops 工具, 大型语言模型, AI 协调, 生成式人工智能, 信息技术基础设施, 人工智能, 云基础设施, 基础设施架构, 深度学习, 数据中心, 硬件架构, 网络基础设施, 数据基础设施, 信息技术业务, 计算机结构, 模型部署, 人工智能和机器学习（AI/ML）

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

您将获得的技能: 空间数据分析, 数据操作, 定量研究, 数据 Compiler, 全球定位系统, 排版, 数据叙事, 地理空间制图, 数据建模, ArcGIS, 数据映射, 地理信息系统, 地理信息系统软件, 数据可视化, Query 语言, 图像分析, 元数据管理, 地理空间信息与技术, 空间分析, 设计元素和原则

您将获得的技能: Ideation, UI/UX Research, Innovation, Design Thinking, User Research, Generative AI, Competitive Analysis, Human Centered Design, Data Ethics, Persona (User Experience), AI Workflows, Artificial Intelligence, Problem Solving, Data Collection, Data Synthesis, Critical Thinking

您将获得的技能: 商业分析, 数据科学, 数据分析, 非结构化数据, 云计算, 文本挖掘, 物联网, 自然语言处理, 大数据, 深度学习, 预测建模, 社交媒体, 地理空间信息与技术

您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

您将获得的技能: Python 程序设计, 机器学习, 分类算法, 逻辑回归, 模型评估, 降维, 回归分析, 决策树学习, 应用机器学习, 预测建模, 无监督学习, Scikit-learn （机器学习库）, 功能工程, 监督学习

您将获得的技能: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control

您将获得的技能: Python 程序设计, 分子生物学, Algorithm, 数据分析, 数据结构, 计算思维, 生物信息学, 生命科学

您将获得的技能: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Image Analysis, Data Preprocessing, Model Deployment