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We write about machine learning the way we wish someone had explained it to us.

Machine Learning Advocate is a weekly publication on machine learning, AI, and the people building intelligent systems, with a soft spot for Friday stories that remind us this field is human, weird, and wonderful.

Machine Learning Advocate is a weekly publication dedicated to artificial intelligence, machine learning, data science, and the people building the future of intelligent systems.

Why Machine Learning Advocate? Because technology is more than algorithms and models — it’s a story of curiosity, creativity, and human innovation. Our mission is to make complex AI concepts accessible, insightful, and engaging for everyone, from industry professionals to curious learners.

We cover breakthroughs in AI, machine learning, data engineering, automation, and emerging technologies, while also highlighting the researchers, founders, engineers, and communities shaping the field. Every Friday, we share stories that remind us that behind every model, dataset, and innovation are real people navigating a rapidly changing world.

Our approach combines technical depth with clear storytelling. We believe the best technology journalism not only explains how things work but also explores why they matter. Whether we’re analyzing the latest research, profiling industry leaders, or discussing the societal impact of AI, our goal is to provide thoughtful, trustworthy coverage.

At Machine Learning Advocate, accuracy and clarity are at the heart of everything we publish. We strive to deliver well-researched content that helps our readers stay informed, inspired, and prepared for the future of intelligent systems.

Thank you for being part of our community. We invite you to explore our stories, discover new ideas, and join the conversation shaping the future of AI.

What we stand for

Three things, taken seriously.

Clarity over hype

We explain what models actually do — and what they don't. No magic, no buzzwords.

Mental models first

Intuitions compound. We build the frames you'll reuse for years, not just headline news.

ML in the wild

We track how machine learning shows up in sports, films, science and everyday products.

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The team

A small crew, writing often.

Dora Moore

Editor in Chief

Mladvocate

Founder & Writer

Priya Shah

Research Contributor

Marco Liu

ML in the Wild

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