MadeWithML.com: Teaching Practical Machine Learning

Outerbounds

How to get started today with ML in production: the tools, workflows, and mental models you need.

Goku Mohandas, founder of <a href="https://madewithml.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Made with ML</a>, has worked on machine learning and product at a large company (Apple), a startup in the oncology space (Ciitizen), and has run his own startup in the rideshare space (HotSpot). In this fireside chat with Outerbounds’ Hugo Bowne-Anderson, Goku will talk about the path from laptop data science to putting machine learning in production, for both organizations and individual data scientists.The modern capabilities of data science and machine learning are wonderful but, as an industry, we’re still figuring out how all the moving parts work together and what patterns we need to start repeating. In this conversation, Goku and Hugo will dive into the challenges of machine learning in production, what you need to know in order to actually deliver value with ML in prod, and what we can learn from organizations that have done it well, including Fortune 500 companies.After attending, you’ll know<ul><li>How to get started today with ML in production: the tools, workflows, and mental models you need;</li><li>What ML in production looks like across a range of verticals, including Fortune 500 companies;</li><li>What steps your organization can take in order to quantify and minimize risk when adopting a machine learning strategy.</li></ul>The fireside chat will be followed by an AMA with Goku and Hugo at slack.outerbounds.co.

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MadeWithML.com: Teaching Practical Machine Learning

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MadeWithML.com: Teaching Practical Machine Learning

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