AWS Startups Blog
Tag: Machine Learning
Caltech’s Pietro Perona on How Deep Learning Can Help You Classify Birds and Trees
As the co-creator, with Cornell Tech Professor Serge Belongie, of the AI and machine learning-based visual classification system Visipedia, Pietro Perona has spent the past seven years working on a “switchboard” that lets anyone, everywhere ask questions and immediately obtain an answer.
James CEO João Menano on Expanding Credit Opportunities with AI
Assigning credit risk to people who apply for business loans, credit cards, and home mortgages has mostly been done by weighing some 10 or 20 attributes. Take those attributes—and we’re all familiar with some of the things that make our credit scores rise and fall, including timeliness of payments, debt to income ratio, and defaults—and crank them through your favorite logistic regression model or scorecard. The result is your assigned credit risk, and depending on the number, you either get your loan or you don’t.
Web Summit 2017: Get Social CEO Jeroen Bouwman on App Discovery, Making Hard Decisions, and Saying No to Machine Learning
Listen as Jereowen Bouwman tells AWS about the original idea for Get Social, how he successfully pivoted from being a consumer-facing company to a B2B product, and why machine learning is not for every startup.
Before Pitching Yourself as a Machine Learning Startup, You Better Be One
Before pitching yourself as a machine learning startup, you better be one, says Matt Hartman of Betaworks.
Why Avatars are Usually Awful, and How Snappr Fixed It
The key to creating a good avatar comes down to the cropping. But if you suggest to your users that they do their own cropping, you are unlikely to receive much of a response.
AI or Die: Why companies must Invest in AI
The goal of AWS since day one is to take technology that has limited reach and make it available to many developers. We do it with storage, compute, data warehouse, data and analytics, and now with AI.
Using Amazon Rekognition to enhance MacOS Finder Tags
Sunday morning I was looking at a large folder on my laptop containing hundreds of images. Thumbnails are wonderful, but what I really wanted was an easy way to search my folder quickly for photos that contained picture of cliffs. Here’s how I used Rekognition to do it.
Using Machine Intelligence to Predict Your Career Success
Here at untapt, we’re using machine learning to reinvent the hiring process for software engineers. We’ve built a digital hiring platform that matches developers with hiring managers and puts them directly in touch with each other. Initially focused on FinTech, untapt will soon expand to cover technology hiring across broad industry verticals. I want to share a bit about our history, how we came to be, what we’re planning next, and how AWS helped make it happen.
Ufora: Algorithms Got Smart. So Should Compute.
From Bad Credit to Linear Algebra on a 10M x 10M Dense Matrix
GraphLab: Big Data Analytics Scaled From Inspiration to Production
Carlos Guestrin, CEO of GraphLab, sat down for a Q&A session.