Statistics Blogs

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

Richard Feynman

Richard Feynman is a writer exploring the deep foundations of machine learning, mathematics, and quantitative finance. His work focuses on intuition-first explanations of probability, statistics, linear algebra, and modern models like large language models.

Machine Learning Probability and Statistics Linear Algebra

Richard Feynman

3

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

1/23/2026 • EN

Ferenc Huszár

Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge and founder of Reasonable, a deep tech startup building advanced programming LLMs. His research focuses on learning theory, reasoning, and inductive biases in deep learning.

machine learning research LLM theory AI reasoning

Ferenc Huszár

15

1/23/2026 • EN

Stern Semasuka

Stern Semasuka is a data scientist at WestJet who writes beginner-friendly guides on machine learning, data analysis, and programming. His blog simplifies complex ML concepts using practical projects and the Feynman Technique.

machine learning data science beginner tutorials

Stern Semasuka

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

185

1/21/2026 • EN

Yoel Zeldes

Yoel Zeldes is an algorithm engineer at AI21 Labs with a background in computer science from Hebrew University. He specializes in machine learning, NLP, computer vision, and distributed computing, focusing on data-driven solutions and clean, elegant code.

Machine Learning NLP Computer Vision

Yoel Zeldes

27

1/6/2026 • EN

Awni Hannun

Awni Hannun is a machine learning researcher and writer specializing in speech recognition, sequence models, and deep learning frameworks. He shares insights, tutorials, and analyses on ML concepts, algorithms, and practical implementations.

Machine Learning Deep Learning Speech Recognition

Awni Hannun

6

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

101

1/5/2026 • EN

Brent Ozar

Brent Ozar is a SQL Server performance expert and consultant who helps teams fix critical database slowdowns, improve reliability, and master SQL Server through hands-on consulting and world-class training.

SQL Server Database Performance SQL Consulting

Brent Ozar

26

1/3/2026 • EN

Phil Eaton

Phil Eaton is a staff engineer working on Postgres and software internals, sharing insights on databases, systems engineering, and life deep in the software stack.

databases postgres software internals

Phil Eaton

160

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

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

108

11/8/2025 • EN

Piotr Migdał

Piotr Migdał – Blog of a Data Explorer and Visual Storyteller This is the personal blog of Dr. Piotr Migdał, a technologist and visual storyteller with a strong background in quantum physics, deep learning, and data visualization. He is a founding engineer at Quesma, where he uses AI to turn complex datasets into clear visual insights through ggplot2 charts and Grafana dashboards. His posts combine technology, creativity, and personal reflection. You will find articles about machine learning, interactive data visualization, and projects that bridge science and art. Beyond his technical work, Piotr writes about dance, mindfulness, and the human side of creativity. This blog is a great read for developers, data scientists, and anyone interested in how technology and art can come together to explain the world in a meaningful way.

deep learning quantum computing

Piotr Migdał

39

11/2/2025 • EN

Dan Luu

DanLuu.com is the personal blog of Dan Luu, known for long-form essays that mix systems thinking with careful measurement and clear writing. The topics range from computer latency and input lag, testing versus informal reasoning, and concurrency bugs, to industry pieces on developer compensation and curated lists of programming blogs worth reading. Many posts include data, historical context, and reproducible reasoning, which is why the site is often cited in courses and shared across the developer community. The design is intentionally minimal, which puts all attention on the ideas.

programming technology systems

Dan Luu

128