Probability Blogs

2/7/2026 • EN

Will Kurt

Will Kurt is a data scientist and author writing about probability and statistics through his blog Count Bayesie. He explores Bayesian and frequentist methods with an intuitive, insight-driven approach, making complex ideas in probability accessible and engaging.

probability statistics bayesian analysis

Will Kurt

19

2/2/2026 • EN

Jake VanderPlas

Jake VanderPlas is an astronomer and open-source leader, serving as Director of Open Software at the University of Washington’s eScience Institute. He writes and builds widely used Python tools for data science, machine learning, and scientific computing.

python data science machine learning

Jake VanderPlas

66

1/28/2026 • EN

Andrew Heiss

Andrew Heiss is a researcher and educator focused on data visualization, causal inference, and applied statistics using R and Bayesian methods. He writes extensively about reproducible research, GIS, and analytical workflows, and teaches data science and social science methods.

data visualization causal inference R programming

Andrew Heiss

55

1/26/2026 • EN

Emir U

SEO Short Description (2–3 lines): Emir U. is a research-focused software engineer applying mathematics, statistics, and computer science to real-world problems, with 18+ years in software and 7+ years in commercial research. A PhD candidate in astronomy with a background in applied maths and philosophy, he writes about machine learning, logic, and statistical modeling.

data science research applied statistics machine learning methods

Emir U

25

1/26/2026 • EN

Jonas Hietala

Jonas Hietala is a writer and developer who blogs about programming, Neovim, Rust, home automation, and hands-on tech projects like 3D printing. With long-form series and personal reflections, he shares practical experiments and lessons from 15+ years of blogging.

programming blog neovim customization rust development

Jonas Hietala

156

1/25/2026 • EN

Ben Recht

Ben Recht is a researcher and writer exploring the history, theory, and practice of decision-making by humans and machines. On arg min, he covers optimization, machine learning, cybernetics, and occasional reflections on music and culture.

Machine Learning Optimization Decision Making

Ben Recht

26

1/25/2026 • EN

Lior Sinai

Lior Sinai is a software developer and writer exploring coding, mathematics, and machine learning through hands-on experiments and clear explanations. His blog covers algorithms, Julia, Python, C++, and intuitive approaches to complex mathematical problems.

Algorithms Mathematics Machine Learning

Lior Sinai

10

1/25/2026 • EN

Jason Cole

Jason Cole is a physicist turned software engineer from Bristol, working on next-generation data analytics at Count. He writes about physics, mathematics, data visualization, and software engineering, with work featured across major media outlets.

Data Visualization Software Engineering Physics

Jason Cole

8

1/25/2026 • EN

Thomas Lumley

Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.

statistics data analysis statistical modeling

Thomas Lumley

215

1/3/2026 • EN

Matt Might

Matt Might’s article index features insightful essays and tutorials on programming languages, functional programming, computer science concepts, and practical advice for programmers and researchers.

programming languages functional programming computer science

Matt Might

5

1/2/2026 • EN

John D. Cook

John D. Cook provides expert consulting in applied mathematics and data privacy, helping clients from tech, biotech, and legal industries—including Amazon, Google, Microsoft, and Amgen—solve complex problems efficiently.

applied mathematics data privacy consulting

John D. Cook

76