Should I use Machine Learning? – SC5

https://sc5.io/posts/use-machine-learning/?utm_content=59645558&utm_medium=social&utm_source=facebook

Did you know that without a single hour invested in development, you can approximate the usefulness of machine learning techniques in your product or digital service by answering two simple questions. Read and learn!

2 Comments

  1. Tomi Engdahl says:

    Y Combinator takes machine intelligence startups to school and learns a thing or two
    https://techcrunch.com/2017/08/27/y-combinator-takes-machine-intelligence-startups-to-school-and-learns-a-thing-or-two/?ncid=rss&utm_source=tcfbpage&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&utm_content=FaceBook&sr_share=facebook

    The reality is that algorithmic advances become outdated on a nearly weekly basis in the world of AI. Things tend to go open source faster than they can even reach full deployment. This means that a startup initially using off the shelf AI tools might actually have a speed advantage to collect critical data over its competitors. This ability to forge gold from iron combined with meaningful domain expertise is the difference maker between successful and unsuccessful machine intelligence startups.

    big challenge is helping customers who purchase services from machine intelligence startups understand what it means to rely on a stochastic product. Outcomes aren’t always predictable and often they’re not even explainable.

    This is where I think the distinction between concrete and soft problems comes in handy. Concrete problems tend to be easily automatible. They are typically quantitative and highly repetitive in nature. Humans are very good at them but they are labor intensive. Try to think of standard classification problems like grouping images or extracting numbers from a document.

    Meanwhile, soft problems tend to be things that humans are not particularly good at.

    I wouldn’t trust an AI to look at my photo library and use the knowledge within it to write a letter to my mom.

    it’s important to remember the cost of making a mistake.

    Reply
  2. Tomi Engdahl says:

    The age of AI surveillance is here
    https://qz.com/1060606/the-age-of-ai-surveillance-is-here/

    For years we’ve been recorded in public on security cameras, police bodycams, livestreams, other people’s social media posts, and on and on.

    The time and effort it would take for someone to trawl through months of security footage to find a specific person, or search the internet on the off-chance they’ll find you is just unrealistic. But not for robots.

    Reply

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