Neural Networks with R

Explore the fascinating world of neural networks with "Neural Networks with R" by Balaji Venkateswaran and Giuseppe Ciaburro. In this book, you'll develop the skills to implement various deep learning models in R, work on complex machine learning tasks, and gain hands-on experience through practical examples. By the end, you'll understand and apply neural networks to real-world problems.

What this Book will help me do

• Set up and use R packages specifically for neural networks and deep learning projects.
• Gain a strong understanding of the foundational concepts behind artificial neural networks.
• Learn to implement and train both supervised and unsupervised neural networks in R.
• Apply neural networks to automatic data prediction and classification tasks.
• Acquire skills to optimize and fine-tune neural network models for better performance.

Author(s)

Balaji Venkateswaran is an experienced data scientist with a background in machine learning and software development. Giuseppe Ciaburro is known for his expertise in engineering and applied artificial intelligence. Together, they bring valuable insights to this book, drawing from their extensive experience. Their writing ensures clarity and practical application, making complex topics accessible.

Who is it for?

This book is tailored for statisticians and R users with a basic understanding of R and mathematics. If you want to delve into neural networks and leverage them for complex data tasks, this resource is ideal for you. Individuals with an interest in AI and deep learning will find this book a stepping stone to advanced concepts. Designed for both learners and professionals eager to upskill.