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Applied machine learning best practices

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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…
    Go to the profile of Venk Varadan
    Venk Varadan
    Sep 20, 2019
    Machine Learning teams have a people problem

    Machine Learning teams have a people problem

    In collaboration with Josh Yellin
    Go to the profile of Martin Gonzalez
    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
    Go to the profile of Pedro Castillo
    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
    Go to the profile of Devvret Rishi
    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…
    Go to the profile of Andrew Watkins-Ball
    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
    Go to the profile of Simon Jégou
    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?
    Go to the profile of Max Grigorev
    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…
    Go to the profile of Clemens Mewald
    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…
    Go to the profile of Josh Cogan
    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…
    Go to the profile of Benji Meltzer
    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…
    Go to the profile of Clemens Mewald
    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…
    Go to the profile of Benjamin Vandendriessche
    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…
    Go to the profile of Venk Varadan
    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
    Go to the profile of Cedric Whitney
    Cedric Whitney
    Oct 11, 2018
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