您将获得的技能: 概率分布, 模型评估, 机器学习, 人工智能和机器学习（AI/ML）, 模拟, 强化学习, 人工智能, 监督学习, 深度学习, 线性代数, 抽样（统计）, 功能工程, 性能测试, 马尔可夫模型, 机器学习算法, 伪代码, 人工神经网络, Algorithm, 性能调整

您将获得的技能: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning

您将获得的技能: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns

您将获得的技能: 数据操作, 模型评估, 机器学习, 数据清理, Pandas（Python 软件包）, 数据科学, Scikit-learn （机器学习库）, 数据预处理, 降维, 分类算法, 随机森林算法, 生物信息学, 张力流, 功能工程, 应用机器学习, Keras（神经网络库）, 数据转换, NumPy, 探索性数据分析, 人工神经网络

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

您将获得的技能: 数据清理, 商业分析, 逻辑回归, 数据建模, 数据预处理, 数据分析, 统计建模, 回归分析, 预测分析, 决策树学习, 监督学习, 数据可视化, 人工神经网络, 探索性数据分析

您将获得的技能: Responsible AI, Model Evaluation, Business Analytics, Dashboard, Business Analysis, Data Ethics, Analysis, Analytical Skills, Performance Analysis, Predictive Analytics, Business Metrics, Business Communication, Performance Measurement, Regional Sales, Data-Driven Decision-Making, Technical Communication, Key Performance Indicators (KPIs), Continuous Quality Improvement (CQI), Process Improvement and Optimization, Performance Testing

您将获得的技能: 概率分布, 计算机科学, 数学建模, 监督学习, 强化学习, Matlab, 网络模型, 生物学, 生理学, 计算思维, 线性代数, Machine Learning 方法, 神经学, 递归神经网络 (RNN), 机器学习算法, 人工神经网络

您将获得的技能: 模型评估, 卷积神经网络, 计算机视觉, 网络架构, 分类算法, 深度学习, 迁移学习, 分布式计算, 生成对抗网络 (GAN), 生成式人工智能, Keras（神经网络库）, 自动编码器, 性能调整, 生成模型架构, 可视化（计算机制图）, 图像分析, 人工神经网络, 张力流

您将获得的技能: 模型评估, 机器学习, 分类算法, 逻辑回归, 数据预处理, 可扩展性, 自然语言处理, 大数据, 概率与统计, 文本挖掘, 决策树学习, 预测建模, 机器学习算法, 应用机器学习, 监督学习, Algorithm

您将获得的技能: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback

您将获得的技能: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods