Demystifying MCMC: A Practical Guide to Bayesian Inference
Explore Markov Chain Monte Carlo (MCMC) methods, specifically the Metropolis algorithm, and learn how to perform Bayesian inference through Python code.
Recent posts
A Closer Look at the Classic Bell Curve
Discover the significance of the Normal Distribution, also known as the Bell Curve, in statistics and its widespread application in real-world scenarios.
Marina Viazovska: Fields Medalist and Pioneer in Sphere Packing
Marina Viazovska won the Fields Medal in 2022 for her remarkable solution to the sphere packing problem in 8 dimensions and her contributions to Fourier analysis and modular forms.
Text Preprocessing Techniques for NLP in Data Science
Text preprocessing is a crucial step in NLP for transforming raw text into a structured format. Learn key techniques like tokenization, stemming, lemmatization, and text normalization for successful NLP tasks.
Mathematics of Machine Learning: A Comprehensive Exploration
This article delves into the core mathematical principles behind machine learning, including classification and regression settings, loss functions, risk minimization, decision trees, and more.
Comparing Value at Risk (VaR) and Expected Shortfall (ES): A Data-Driven Analysis
A comprehensive comparison of Value at Risk (VaR) and Expected Shortfall (ES) in financial risk management, with a focus on their performance during volatile and stable market conditions.
Introduction to Data Engineering: Processes, Skills, and Tools
This article explores the fundamentals of data engineering, including the ETL/ELT processes, required skills, and the relationship with data science.
Data Science in Carbon Footprint Reduction: Leveraging Big Data and Machine Learning for Sustainable Operations
This in-depth analysis explores how data science is driving measurable carbon reductions across industries through predictive modeling, optimization algorithms, and real-time emissions tracking.
AI and Machine Learning in Renewable Energy Optimization: Transforming the Future of Clean Energy
Discover how artificial intelligence and machine learning are solving the most pressing challenges in renewable energy through forecasting, grid intelligence, and energy storage optimization.
Why Managing Data Science Like Engineering Leads to Failure
While engineering projects have defined solutions and known processes, data science is all about experimentation and discovery. Managing them in the same way can be detrimental.