References and Resources

[1] An Elementary Introduction to the Wolfram Language: Book – Course.
[2] Hands-on Start to Wolfram Mathematica Training Tutorials.
[3] Quick Start to Wolfram Tech.
[4] Wolfram Language Programming Proficiency.
[5] Exploring AI Foundations with Wolfram Tools.
[6] Introduction to Neural Networks.
[7] Neural Networks Basic Concepts.
[8] The Neural Net Framework: A Gentle Introduction.
[9] Exploring the Neural Network Framework from Building to Training.
[10] Building Blocks for Deep Learning.
[11] Applying Neural Networks Webinar Series.
[12] Wolfram Machine Learning Guides: Machine Learning – Supervised Machine Learning – Unsupervised Machine Learning.
[13] Neural Networks in Wolfram Language: Neural Networks Guide – Neural Networks Overview.
[14] Wolfram Machine Learning.
[15] Introduction to Machine Learning – Etienne Bernard.
[16] LLM-Related Functionality.