您将获得的技能: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

您将获得的技能: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

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: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

您将获得的技能: 模型评估, Data Governance, Google 云端平台, 数据管理, Data Management, 云计算, 张力流, 数据预处理, AI 工作流程, 数据转换, MLOps（机器学习 Operator）, 预测建模, 模型部署, 机器学习, 数据管道

您将获得的技能: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Hardware Architecture, Infrastructure Architecture, AI Workflows, Cloud Computing Architecture, Performance Tuning, Computer Hardware, MLOps (Machine Learning Operations), Cloud Platforms, Computing Platforms, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Benchmarking, Systems Architecture

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: 项目管理, 模型评估, 决策树学习, 数据伦理, 监督学习, 数据预处理, 产品生命周期管理, 负责任的人工智能, 机器学习算法, MLOps（机器学习 Operator）, 数据清理, 数据质量, 功能工程, 模型部署, 业务运营, 应用机器学习, 分类算法, Data Validation, 机器学习, Jupyter

您将获得的技能: 模型评估, 数据管理, Data Management, 张力流, 数据导入/导出, MLOps（机器学习 Operator）, 数据预处理, 数据共享, 数据处理, 数据转换, 迁移学习, 性能调整, 数据管道, 摘录

您将获得的技能: PyTorch（机器学习库）, 无监督学习, Scikit-learn （机器学习库）, 张力流, 深度学习, 微软 Azure, 回归分析, 迁移学习, MLOps（机器学习 Operator）, 数据分析, 预测建模, 卷积神经网络, 应用机器学习, 分类算法, 数据科学, 机器学习, 人工智能和机器学习（AI/ML）, 探索性数据分析, 图像分析, 数据可视化

您将获得的技能: 云计算, Google 云端平台, 云基础设施, 云部署, MLOps（机器学习 Operator）, 技术文档, 云平台, Devops, 云应用, 云存储, 云 Native 计算, 技术交流, 分布式计算, 云 API, CI/CD, 应用机器学习, 敏捷软件开发, 持续交付, 机器学习, 软件工程