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Made With ML

Applied ML ยท MLOps ยท Production

Join 30K+ developers in learning how to responsibly deliver value with ML.

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๐Ÿ†  Among the top ML repositories on GitHub.
โค๏ธ  30K+ community members and growing.
๐Ÿ› ๏ธ  Highly recommended industry resource.


Learn the foundations of machine learning through intuitive explanations, clean code and visualizations. → GokuMohandas/Made-With-ML

MLOps course

Learn how to combine machine learning with software engineering to build production-grade applications. → GokuMohandas/mlops-course

๐Ÿ’ป Developing ๐Ÿ“ฆ Serving โœ… Testing
โ™ป๏ธ Reproducibility ๐Ÿš€ Production โŽˆ Data engineering


Every lesson is written with the following principles:

We never jump straight to code, instead we develop an intuition for the concepts first.
Instead of just discussing MLOps concepts, we code everything (project-based).
It's not just about ML, it's also about software engineering best practices.
Lessons easily extend across different algorithms, data modalities, tech stacks, etc.

Meet your instructor

Goku Mohandas

Hi, I'm Goku Mohandas

Over the past 7 years, I've worked on ML and product at a large company (Apple), a startup in the oncology space (Ciitizen) and ran my own startup in the rideshare space (HotSpot). Throughout my journey, I've worked with brilliant developers and product managers and learned how to responsibly develop, deploy and iterate on ML systems across various industries.

I currently work closely with early-stage and F500 companies in helping them deliver value with ML while diving into the best and bespoke practices of this rapidly evolving space. I want to share this knowledge with the rest of the world so we can accelerate progress in this space.

ML is not a separate industry, instead, it's a powerful way of thinking about data, so let's make sure we have a solid foundation before we start changing the world with it. Made With ML is our medium to catalyze this goal and though we're off to great start, we still have a long way to go.

โค๏ธ Wall of Love

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To cite this content, please use:

    author       = {Goku Mohandas},
    title        = { Home - Made With ML },
    howpublished = {\url{}},
    year         = {2022}