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Neural networks and feature-based machine learning: The evolution of applications in Healthcare…
Neural networks and feature-based machine learning: The evolution of applications in Healthcare…
Nanowear, a New York-based connected care and companion diagnostic platform built on FDA-cleared nanotechnology, is delivering a new…
Venk Varadan
Sep 20, 2019
Machine Learning teams have a people problem
Machine Learning teams have a people problem
In collaboration with Josh Yellin
Martin Gonzalez
Jun 13, 2019
How to Build, Develop and Deploy a Machine Learning Model to predict cars price using Neural…
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
Pedro Castillo
May 31, 2019
Bridging the gap between research and big tech: applied AI/ML best practices for the modern…
Bridging the gap between research and big tech: applied AI/ML best practices for the modern…
Authors: Devvret Rishi, Margaret Jennings
Devvret Rishi
May 17, 2019
Why addressing bias in machine learning is key to unlocking greater financial inclusion
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…
Andrew Watkins-Ball
Apr 15, 2019
How to estimate the age of your brain with MRI data
How to estimate the age of your brain with MRI data
A practical guide for applying machine learning in healthcare
Simon Jégou
Mar 1, 2019
What is the next big thing in AI and ML?
What is the next big thing in AI and ML?
And is there one?
Max Grigorev
Feb 14, 2019
Your Deep-Learning-Tools-for-Enterprises Startup Will Fail
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…
Clemens Mewald
Jan 31, 2019
The ML Surprise
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…
Josh Cogan
Jan 14, 2019
Spinning up an annotation team
Spinning up an annotation team
Modern tech companies’ core defensibility is often in rapidly building proprietary datasets. These are generally niche datasets that can…
Benji Meltzer
Dec 14, 2018
How to protect your Machine Learning product from time, adversaries, and itself
How to protect your Machine Learning product from time, adversaries, and itself
Unlike traditional products, the launch of ML/AI-driven features or products is just the start of a Product Manager’s role. ML models…
Clemens Mewald
Nov 29, 2018
Modular Machine Learning in Healthcare
Modular Machine Learning in Healthcare
It’s hard to imagine developing software that isn’t modular. It would be extremely difficult to debug, troubleshoot, and implement…
Benjamin Vandendriessche
Nov 8, 2018
Planning for Machine Learning as a Medtech Startup
Planning for Machine Learning as a Medtech Startup
As the world transitions to machine learning-powered products and solutions, many subject matter experts will need to develop new skills…
Venk Varadan
Oct 26, 2018
Decentralizing Machine Learning
Decentralizing Machine Learning
New tools enable some of the benefits of machine learning (ML) without the risks inherent in centralization. We believe that
Cedric Whitney
Oct 11, 2018
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