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Practical Machine Learning without Coding · LearnSpace
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Practical Machine Learning without Coding

Курс от LearnQuest
Средний≈ 5.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Learn to train and optimize common machine learning models, manage resource limitations, and streamline model building with no-code automation. Analyze output confidently with guided interpretation and error analytics.

Навыки, которые вы освоите

No-Code DevelopmentModel EvaluationResponsible AIModel OptimizationModel DeploymentScalabilityWorkflow ManagementMLOps (Machine Learning Operations)Model TrainingMachine LearningCloud DeploymentMachine Learning SoftwareCompliance ManagementCloud ComputingPerformance MeasurementApplied Machine LearningBig DataReturn On InvestmentBusiness MetricsContinuous Improvement Process

Программа курса

3 модулей · 41 учебных материалов

01Standard ML Models in No-Code Platforms15 материалов

Let's Get Started

Standard ML Models in No-Code PlatformsВидеоLevel-Set with the CoachDIALOGUE

Training and Evaluating Models with No-Code Systems

Launch batch model training jobs for quicker experimentationВидеоAction Story: Fixing Model Errors Before the Client DemoЧтение

Учитесь у экспертов

LearnQuest Network

Преподаватель курса

Practical Machine Learning without Coding
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 5.1 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Review automated performance metrics for rapid feedbackВидео
Diagnose errors using built-in troubleshooting guidesВидео
Training and Evaluating Models with No-Code SystemsЗадание

Hyperparameter Tuning Made Simple

Conduct auto-tuning for key model parametersВидеоAction Story: Tuning Under Pressure Before the LaunchЧтениеBalance model complexity and accuracy with scenario-based optimizationВидеоRecord tuning histories for compliance and reproducibility auditsВидеоFinding the Sweet Spot: Auto-Tuning Without CodeDIALOGUECoursera generated quizЗадание

Put it in Action: Standard ML Models in No-Code Platforms

Role Play: Technical Lead, Model Governance TeamDIALOGUEGraded AssignmentЗадание
02Advanced Algorithms and Automation for Scale13 материалов

Let's Get Started

Advanced Algorithms and Automation for ScaleВидео

Building Scalable Models on Cloud No-Code Platforms

Connect no-code tools to cloud resources for scalable computationВидеоAction Story: Scaling Up Before the Product LaunchЧтениеManage big data workflows using partitioning and streaming featuresВидеоConfigure auto-backups to safeguard project continuityВидеоBuilding Scalable Models on Cloud No-Code PlatformsЗадание

Auditability and Automation in ML Workflows

Detect bias and fairness concerns with integrated audit featuresВидеоSet automation for periodic retraining triggered by data changesВидеоMonitor model health with live diagnostic dashboardsВидеоKeeping Models Honest: Audits and Automation in ActionDIALOGUEAuditability and Automation in ML WorkflowsЗадание

Put it in Action: Advanced Algorithms and Automation for Scale

Role Play: Regional Data Compliance OfficerDIALOGUECoursera generated quizЗадание
03Production Deployment and Integration13 материалов

Let's Get Started

Production Deployment and IntegrationВидео

Deploying Models and APIs from No-Code Workflows

Publish models as live endpoints for real-time accessВидеоAction Story: Deploying a Model Before the Executive ReviewЧтениеConnect output to business apps via pre-configured APIsВидеоAutomate deployment using drag-and-drop workflow editorsВидеоDeploying Models and APIs from No-Code WorkflowsЗадание

Change Management and Stakeholder Buy-In

Demonstrate clear business impact with interactive ROI visualizationsВидеоAction Story: Winning Support for the AI RolloutЧтениеCreate evidence-based communication plans for model launchesВидеоManage feedback cycles with continuous improvement trackingВидеоTurning Skeptics into Supporters: Communicating AI ValueDIALOGUE

Put it in Action: Production Deployment and Integration

Role Play: Senior Operations ManagerDIALOGUEProduction Deployment and IntegrationЗадание