Machine Learning Blogs

1/25/2026 • EN

Neal Lathia

Neal Lathia is a machine learning practitioner and writer exploring how AI is built, evaluated, and adopted in the real world. His blog focuses on AI progress, responsible deployment, and the human impact of machine learning systems.

Artificial Intelligence Machine Learning AI Evaluation

Neal Lathia

11

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

Lilian Weng

Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.

Large Language Models Machine Learning Research Reinforcement Learning

Lilian Weng

50

1/25/2026 • EN

Julien Jerphanion

Julien Jerphanion writes in-depth articles on machine learning performance, numerical computing, and software craftsmanship. His work focuses on scikit-learn internals, efficient algorithms, and building a strong theoretical understanding of ML systems.

Machine Learning scikit-learn Numerical Computing

Julien Jerphanion

9

1/25/2026 • EN

Jay Mody

Jay Mody is a software engineer and writer sharing clear, concise explanations of machine learning concepts and numerical computing. His blog focuses on intuition-driven deep dives into topics like GPT, attention, and efficient NumPy implementations.

Machine Learning Deep Learning NumPy

Jay Mody

5

1/25/2026 • EN

Peter Witham

Peter Witham is a software developer and creator writing about mobile app development, game design, and AI-assisted workflows. His blog blends technical insights with personal reflections, podcasts, and lessons from building apps across platforms.

Mobile App Development Game Development AI in Software

Peter Witham

95

1/25/2026 • EN

Rui Peres

Rui Peres writes thoughtful, concise reflections on leadership, software engineering, delivery, and personal growth. His blog blends management insights, tech culture, and everyday observations with a calm, reflective tone.

Engineering Leadership Software Management Personal Growth

Rui Peres

121

1/25/2026 • EN

Guilherme Rambo

Guilherme Rambo is an Apple-platform developer and security researcher writing in-depth analyses on iOS, macOS, privacy, and system-level bugs. Known for uncovering critical issues, reverse engineering, and deep technical investigations across Apple ecosystems.

iOS Security macOS Development Swift

Guilherme Rambo

29

1/25/2026 • EN

Tony Arnold

Tony Arnold is an Australian software developer based in Newcastle, working at Mantel on Reveal, a visual debugging tool for mobile applications. He writes about software development, mobile experiences, and open-source, and actively contributes to community projects.

software development mobile engineering debugging tools

Tony Arnold

4

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

1/24/2026 • EN

Daniel Saidi

Daniel Saidi is a freelance engineer specializing in app and product development for Apple platforms. He writes and builds open-source tools focused on Swift, SwiftUI, and modern iOS/macOS development.

swift swiftui ios development

Daniel Saidi

96

1/24/2026 • EN

Michelle Barker

Michelle Barker is a front-end developer and writer behind CSS { In Real Life }, a blog dedicated to modern CSS and real-world web development. She shares honest, practical insights on evolving CSS features, front-end techniques, and the web community.

css front-end development web design

Michelle Barker

227

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

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

1/23/2026 • 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

Jay Alammar

Jay Alammar is an educator and author known for visualizing machine learning and LLM concepts through clear, illustrated guides. He teaches thousands of learners and co-authored Hands-On Large Language Models.

machine learning LLMs AI education

Jay Alammar

9

1/22/2026 • EN

Philipp Schmid

Philipp Schmid is a Staff Engineer at Google DeepMind, building AI Developer Experience and DevRel initiatives. He specializes in LLMs, RLHF, and making advanced AI accessible to developers worldwide.

AI LLMs developer experience

Philipp Schmid

191

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

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

617