R

Understand how machine learning works and get hands-on experience in using R to build algorithms that can solve several real-world problems.

Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications

Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.

Solve real-world data problems with R and machine learning

Build efficient forecasting models using traditional time series models and machine learning algorithms.

A comprehensive guide in developing and deploying high performance microservices with Rust

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills

Design and implement professional level programs by exploring modern data structures and algorithms in Rust.

Explore the world of neural networks by building powerful deep learning models using the R ecosystem

Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data

Learn the ropes of supervised machine learning with R by studying popular real-world use cases, and understand how it drives object detection in driverless cars, customer churn, and loan default prediction.

Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languages