Our MissionWe exist to end the hype and educate the community on how to responsibly deliver value with ML.
🌍 Deliver value
How come there's a lot of buzz around ML but we grossly fall short when it comes to deployed ML in real world applications (especially in certain industries). There are many reasons for this, including but not limited to:
data: not enough of the right data.
cost: the data, compute, storage and talent resources needed for ML allow mostly large companies to benefit from it.
utility: most ML content you see online are gimmicky tasks that can't extend into valuable real world applications.
trust: ML needs to be engineered reliably and robustly.
We will steadily address all the issues mentioned above but we're going to work backwards starting with trust. This is why we created our courses to educate the community on how to responsibly develop, iterate and deliver value via applications that are made with ML.
Meet your instructor
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 mid-sized 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. 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.