R Blogs

1/28/2026 • EN

Yihui Xie

Yihui Xie is a statistician and software developer best known for his work on R Markdown, knitr, and tools for reproducible research. He blogs about R, web technologies, publishing workflows, and practical programming techniques.

r programming reproducible research r markdown

Yihui Xie

24

1/27/2026 • EN

Andrew Bancroft

Andrew Bancroft is an experienced iOS developer and educator with over 15 years of experience. He shares tutorials, courses, and insights on Swift, SwiftUI, Core Data, and app development best practices.

iOS development Swift SwiftUI

Andrew Bancroft

203

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

26

1/25/2026 • EN

Andis Ariet

Andis Arietta is a data scientist and evolutionary ecologist researching how land management and climate change shape eco-evolutionary dynamics. With a background in genomics, statistics, and machine learning, he bridges science, conservation, and data-driven decision making.

Data Science Evolutionary Ecology Machine Learning

Andis Ariet

7

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

218

1/23/2026 • EN

Igor Susmelj

Igor Susmelj is co-founder of Lightly, an ETH Zurich spin-off focused on simplifying large-scale datasets for deep learning. He writes about data pipelines, data annotation, and efficient ML workflows.

deep learning data annotation machine learning datasets

Igor Susmelj

10

1/22/2026 • EN

Eugene Yan

Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.

AI machine learning recommendation systems

Eugene Yan

188

1/21/2026 • EN

Robin Moffatt

Robin Moffatt is a Principal DevEx Engineer and seasoned conference speaker with 15+ years of experience presenting at top events like QCon, Devoxx, Kafka Summit, and Strata. He shares insights on developer experience, distributed systems, and cloud technologies through his blog, YouTube, and public talks.

Developer Experience Distributed Systems Cloud

Robin Moffatt

626

1/21/2026 • EN

Jessie Frazelle

Jessie Frazelle is a technologist and author specializing in hardware, software, and data center technologies. She writes about chip design, mechanical CAD, energy systems, 3D printing, and security in computing.

Hardware Chip Design Data Centers

Jessie Frazelle

67

1/7/2026 • EN

John Blischak

John Blischak is a software developer and data scientist who writes about R programming, bioinformatics, and open-source tools for data analysis and visualization.

R Programming Bioinformatics Open Source

John Blischak

12

1/5/2026 • EN

Sebastian Raschka

Sebastian Raschka, PhD, is an LLM Research Engineer and AI expert bridging academia and industry, specializing in large language models, high-performance AI systems, and practical, code-driven machine learning.

Large Language Models Artificial Intelligence Machine Learning

Sebastian Raschka

122

12/31/2025 • EN

Andrew Bancroft

Andrew Bancroft — Experienced iOS developer, educator, and writer with 15+ years of experience, sharing clear, practical guidance on Swift, SwiftUI, iOS development, and data persistence to help developers succeed.

swift ios development swiftui

Andrew Bancroft

204

11/29/2025 • EN

Sebastian Raschka

SebastianRaschka.com is the personal blog of Sebastian Raschka, PhD, an LLM research engineer whose work bridges academia and industry in AI and machine learning. On his blog and notes section he publishes deep, well-documented articles on topics such as LLMs (large language models), reasoning models, machine learning in Python, neural networks, data science workflows, and deep learning architecture. Recent posts explore advanced themes like “reasoning LLMs”, comparisons of modern open-weight transformer architectures, and guides for building, training, or analyzing neural networks and model internals.

ai machine learning python

Sebastian Raschka

130