您将获得的技能: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning

您将获得的技能: 模型部署, 混合云计算, 模型评估, 张力流, 可扩展性, 机器学习, MLOps（机器学习 Operator）, 系统设计, 系统架构, 分布式计算, 性能调整, Google 云端平台

您将获得的技能: 材料科学, 工程分析, 解决问题, 工程设计流程, 故障分析, 机械, 生物医学工程, 机械设计, 结构分析

您将获得的技能: Flask（网络框架）, 模型部署, 预测建模, 数据操作, 机器学习, Python 程序设计, 应用程序部署, 数据预处理, MLOps（机器学习 Operator）, Django （网络框架）, 网络应用

您将获得的技能: 卷积神经网络, 模型部署, 张力流, 贝叶斯统计, 自然语言处理, 监督学习, 模型评估, 人工神经网络, 自动编码器, 迁移学习, 深度学习, 应用机器学习, 数据预处理, 递归神经网络 (RNN), Keras（神经网络库）, 图像分析, 生成模型架构, 数据管道, 概率分布, 计算机视觉

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing

您将获得的技能: Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, User Experience Design, Design, Design Thinking, Disabilities, Brainstorming, Education Software and Technology, Professional Development, Needs Assessment, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, User Centered Design, Prototyping, Design Strategies

您将获得的技能: Responsible AI, Data Ethics, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, ChatGPT, Productivity Software, Training Programs, Prompt Engineering, Learning Management Systems, Innovation, Case Studies, Leadership Development, Automation

您将获得的技能: 卷积神经网络, 微积分, 监督学习, 人工神经网络, 深度学习, Python 程序设计, 线性代数, 递归神经网络 (RNN), 应用机器学习

您将获得的技能: 监督学习, 无监督学习, 模型评估, 预测建模, Apache Hadoop, PySpark, 机器学习, Apache Spark, 生成式人工智能, 数据预处理, 回归分析, 应用机器学习, 数据管道, 摘录, 数据处理

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), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

您将获得的技能: 卷积神经网络, 数据科学, 监督学习, 张力流, 预测建模, 自然语言处理, 分类算法, 机器学习, 人工智能, 数据预处理, 递归神经网络 (RNN), 深度学习, 应用机器学习, 文本挖掘