Advanced Machine Learning with R
Explore the advanced topics in machine learning with R
Created by Tim Hoolihan
Take your machine learning skills to the next level by working with advanced techniques in R. You'll explore deep learning, hyperparameter tuning, neural networks, and unsupervised learning, all through practical, real-world examples. Discover how to build, evaluate, and deploy predictive models using R's powerful tools.
Packt | Aug 2017 | 92 min
What You Will Learn
You'll progress by working through hands-on examples that demonstrate each advanced concept in action. Real datasets and practical scenarios will guide you as you implement neural networks, tune hyperparameters, and perform clustering. Each topic is broken down into manageable steps, making it easy to follow and apply the techniques right away.
Key Features
- Build and tune neural networks and deep learning models for complex data tasks
- Apply unsupervised learning and clustering to uncover hidden patterns in data
- Deploy machine learning models into production-ready applications using R
Target Audience
Designed for data professionals and aspiring data scientists who already know the basics of R and statistics. If you're ready to move beyond simple models and want to master advanced machine learning workflows in R, you'll find this course a perfect fit for your goals.
