The Launchpad

The Launchpad is a resource for applied-Machine Learning (ML) best practices from the trenches. Our goal is to help AI-first companies innovate & thrive, sharing knowledge & insights from our community:startups, mentors & Googlers https://developers.google.com/programs/launchpad/

Editors
Malika Cantor

Startups | AI & ML | @Sequoia, ex @Google

Cassie Kozyrkov

Chief Decision Intelligence Engineer, Google. ❤️ Stats, ML/AI, data, puns, art, theatre, decision science. All views are my own. twitter.com/quaesita

Maya Grossman

VP Marketing | Product Marketing & Brand Strategist | @Microsoft @Google

Latest Posts

Machine Learning teams have a people problem

In collaboration with Josh Yellin

How to Build, Develop and Deploy a Machine Learning Model to predict cars price using Neural…

Or how to price a car in an emerging market… and not die trying

Why addressing bias in machine learning is key to unlocking greater financial inclusion

At JUMO, our mission is to radically advance financial inclusion by bridging the gap between critical financial services, and those that…

A Step-by-Step Guide to Machine Learning Problem Framing

Diving into Machine Learning (ML) without knowing what you’re trying to achieve is a recipe for disaster. Let’s get you off to a good…

How to estimate the age of your brain with MRI data

A practical guide for applying machine learning in healthcare

Your Deep-Learning-Tools-for-Enterprises Startup Will Fail

I usually write about how to integrate and launch ML/AI in consumer-facing products. However, a large part of my job is building ML/AI…

The ML Surprise

When I was in college, an ice cream shop opened nearby, and a few friends and I went to check it out. We walked in, and it looked…

Spinning up an annotation team

Modern tech companies’ core defensibility is often in rapidly building proprietary datasets. These are generally niche datasets that can…

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