A Gentle Introduction to Statistical Computing Using Julia

Authors

Sujit Sandipan Chaugule^a*, Dr. Amiya Ranjan Bhowmick^b

^a* Department of Pharmaceutical Sciences & Technology, Institute of Chemical Technology, Mumbai
^b Department of Mathematics, Institute of Chemical Technology, Mumbai

Overview

This repository provides a beginner-friendly introduction to statistical computing using the Julia programming language. It covers key statistical concepts, simulations, and implementations, an essential foundation for AI/ML. Ideal for students, researchers, and practitioners in data science and machine learning.

Features

• Introduction to Julia for Statistical Computing
• Key statistical concepts and their computational implementations
• Simulations and probablistic modeling
• Practical applications in AI/ML

Related Resources

A Gentle Introduction to Statistical Computing using R: https://arbhowmick.quarto.pub/a-gentle-introduction-to-statistical-computing-using-r/

Credits

This content inspired by the course Statistical Computing in the MDM in Machine Learning and Artificial Intelligence offered by the Department of Mathematics, ICT Mumbai, under NEP2020

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests. For any queries contact sujitchaugule016@gmail.com

Acknowledgements

Sincere gratitude to Dr. Md Aktar Ul Karim (Symbiosis Statistical Institute, Pune), Dr. Dipali Vasudev Mestry (Department of Mathematics, ICT Mumbai) for their continuous support and valuable guidance throughout the development of this work.