Description for MLOps in R: Deploying machine learning models using vetiver
Developing a Stacked Ensemble Model: Comprehend the process of preparing and constructing a layered ensemble model for deployment.
Versioning and Deployment with Vetiver: Acquire the knowledge necessary to version and deploy machine learning models using Vetiver, thereby guaranteeing seamless updates and management.
Monitoring and Predictive Analytics: Utilize methodologies to anticipate and supervise model functionality, guaranteeing consistent precision over time.
Pipeline for Automated Deployment: Utilize realistic scenarios, such as the deployment of a hospital readmission model, to establish and effectively manage a fully automated deployment pipeline.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Coursera Project Network
Duration: 2 hours at your own pace
Schedule: Hands-on learning
Pricing for MLOps in R: Deploying machine learning models using vetiver
Use Cases for MLOps in R: Deploying machine learning models using vetiver
FAQs for MLOps in R: Deploying machine learning models using vetiver
Reviews for MLOps in R: Deploying machine learning models using vetiver
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for MLOps in R: Deploying machine learning models using vetiver
Accelerate your career in data analytics. In this certificate program, you will acquire skills that are in high demand at your own tempo, regardless of your degree or experience.
Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.
This AI course delineates the Data Scientist's toolkit, instructs students in Python, R, and SQL, investigates RStudio and Jupyter notebooks, and discusses Git and GitHub for source code administration.
Potential for data-driven decision-making has been realized. Students will acquire the skills to access, manage, analyze, and visualize data to secure a competitive edge in strategic business decision-making.
Develop a machine learning pipeline that utilizes Tidymodels to forecast hospital readmissions, with potential applications in healthcare analytics.
Featured Tools
Empowering learners to utilize AI tools for innovative and effective course design and delivery, this course offers an in-depth understanding of AI applications in education.
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
Learn to develop interactive web applications with Python and Streamlit, train machine learning models using scikit-learn, and visualize evaluation metrics for binary classification algorithms.
Explore the multidisciplinary field of digital health, covering technologies like mobile apps, wearables, AI, and big data, emphasizing their role in public health and healthcare systems, and prepare learners to design, implement, and evaluate digital health interventions.
Acquire the knowledge necessary to direct your AI voyage. In this program, a CEO will instruct you on how to become a hands-on, AI-powered leader who is prepared to unlock the transformative potential of GenAI for your organization.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsMultimodal AI ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: info@groupify.ai
Aimed Labs