🦃 Cozy up with autumn reads! Let our AI Librarian pick your perfect fireside book 🍁
Explore the literary world of this author
Analysis, Machine Learning, and Visualization
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learnin...
A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition
Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for computer visi...
Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key FeaturesGet to grips with the fundamentals of...
Data Programming and the Cloud
Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the c...
Using PostgreSQL, AWS, and Shiny
Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code...
From Beginner to Pro
Learn how to use R 4, write and save R scripts, read in data files, use built-in functions, and write custom statistical functions. This in-depth tuto...