您将获得的技能: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

您将获得的技能: Healthcare 5.0, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Jupyter, LLM Application, Generative Model Architectures, AI Product Strategy, Model Evaluation, Multimodal Prompts, Health Systems, Health Information Management, Data Preprocessing, Data Analysis

您将获得的技能: 机器学习, 道德标准与行为, 机器学习算法, 信息隐私, 个人身份信息, 数据伦理, Algorithm, 数据收集, 数据预处理, 人工智能, 大型语言模型, 模型评估, AI 赋能, 预测分析, 分析技能, 预测建模, 负责任的人工智能, OpenAI, AI 安全, 博弈论

您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms

您将获得的技能: 机器控制, 深度学习, 自动化, 全球定位系统, 计算机视觉, 卷积神经网络, 估算, 机器人, 控制系统, 嵌入式软件, Networking 路由器, 模拟, 安全保障, 软件架构, 图像分析, 交通流优化, Machine Learning 方法, 系统架构, 人工神经网络, 硬件架构

您将获得的技能: Python 程序设计, 机器学习, 交互式数据可视化, 探索性数据分析, 数据清理, 数据操作, 数据伦理, 数据分析, 数据转换, Matplotlib, Plotly, 数据叙事, 生成式人工智能, 数据可视化软件, Pandas（Python 软件包）, 模型评估, 数据可视化, Jupyter, Scikit-learn （机器学习库）

您将获得的技能: 机器学习, 机器学习算法, Algorithm, 线性代数, 模型评估, 降维, 应用机器学习

您将获得的技能: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment

您将获得的技能: Amazon Bedrock, Model Evaluation, Data Preprocessing

您将获得的技能: 机器学习, 数据伦理, 生成式人工智能, 模型评估, 生成对抗网络 (GAN), 无监督学习, PyTorch（机器学习库）, 生成模型架构, 图像质量, 负责任的人工智能

您将获得的技能: 可视化（计算机制图）, 分类算法, 模型评估, 计算机视觉, 卷积神经网络, 网络架构, 迁移学习, 深度学习, 张力流, Keras（神经网络库）, 图像分析

您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms