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We help developers like you skip years ahead. Discover how to get better results, faster.

I’m Jason Brownlee, Ph.D. and I help developers like you skip years ahead. Get my Free eBook and accelerate your next project (and access to my exclusive email course)!

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What Our Users Have to Say

“Your site has boosted my growth as an aspiring Data Scientist. The tutorials are clear, engaging, and have made complex topics much more approachable. It’s a great resource for anyone looking to build a strong foundation in data science.”
David Dalisay
Data Scientist
“Machine Learning Mastery books have been my go-to resource for years. They make complex machine learning topics approachable, with clear explanations and practical examples. As a clinician teaching data science, I’ve relied on these affordable, easy-to-read guides to build my skills and help others do the same. Highly recommended!”
Robert Hoyt, MD
Physician Data Scientist
“This site has transformed the way I approach machine learning projects. The tutorials are clear and easy to follow. It’s a must-have for anyone serious about mastering machine learning.”
Vidhi Chugh
AI Researcher
“Machine Learning Mastery became a “one stop shop” that allowed me to successfully build models without spending years learning mathematics and theory. “
James Carmichael, PhD
ML Engineer

Meet Our Experts

Bringing together industry insights and expertise, our team delivers content that empowers your learning journey. Trust in our experts to guide you through the ever-evolving world of machine learning.

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Jason Brownlee, Ph.D.

Founder

Jason is the founder of Machine Learning Mastery and a seasoned machine learning practitioner. With a PhD in artificial intelligence, he has authored numerous books on machine learning and deep learning, making complex topics accessible to developers worldwide.

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Adrian Tam, Ph.D.

Editor in Chief

Adrian is a data scientist and software engineer with expertise in mathematical models and machine learning. He has developed commercial models for time series prediction, risk analysis, NLP, recommender systems, and computer vision.

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Estephania Cristina, Ph.D.

Editor

Cristina is an expert in computer vision and image processing, with a focus on human-computer interaction and 3D reconstruction. Her research includes innovative algorithms for eye-gaze tracking, contributing to leading conferences and journals.

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Kanwal Mehreen

Technical Editor & Content Specialist

Kanwal is a machine learning engineer and technical writer with a passion for AI in medicine. A Google Generation Scholar and FEMCodes founder, she co-authored “Maximizing Productivity with ChatGPT” and champions diversity in STEM.

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