Josua serves as a consultant, technical blogger, and machine learning engineer based in Indonesia. His professional focus encompasses statistical learning methodologies, predictive modeling techniques, and interpretable machine learning approaches. He is proficient in Python and R programming languages, with extensive experience leveraging frameworks and libraries such as Scikit-Learn, PyTorch, Pandas, Matplotlib, Seaborn, XGBoost, CatBoost, LightGBM, and NumPy. He remains dedicated to advancing data-driven solutions through rigorous analysis and transparent algorithmic practices.

Josua acknowledges that many individuals seeking proficiency in machine learning encounter barriers to accessing high-quality educational resources due to financial limitations. To address this, he is committed to producing rigorously curated content designed to support aspiring Machine Learning Engineers. For those who derive value from these materials and wish to contribute to the sustainability of this initiative, your support is sincerely appreciated. The content spans a comprehensive range of topics, including:

1. Statistics
2. Machine Learning for tabular data
3. Causal inference & Causal Discovery
4. LLM in Production
5. Software Engineering for Machine Learning Engineer
6. Hackathon for living
7. Reinforcement Learning
8. Graph Machine Learning
9. Responsible AI
10. Computer Vision
11. Time Series

Learn more about him:
naiborhujosua.com

Once Again, Thank you for your Support ❤️