Bobby Turkalino

  • 2 Posts
  • 168 Comments
Joined 11 months ago
cake
Cake day: August 14th, 2023

help-circle















  • Bobby Turkalino@lemmy.yachtstoScience Memes@mander.xyz🔔 SHAME 🔔
    link
    fedilink
    English
    arrow-up
    9
    ·
    edit-2
    2 months ago

    There are different kinds of infinity

    “Countably infinite” means an infinitely-large set of numbers that could be generated by infinitely following an algorithm with a finite number of steps. For example, natural (positive whole) numbers are countably infinite because they could be generated by following this simple algorithm:

    1. Start with the number 1
    2. Add 1 to your number
    3. Repeat step 2

    The set of real numbers, on the other hand, is uncountably infinite because you can have an infinite number of digits after the decimal place. You can’t define a finite generation algorithm like the one above simply because any precision you use wouldn’t cover the full range. In other words, if you wanted to modify the above algorithm, and chose 0.1 as your starting number, your algorithm would miss 0.01. If you chose to start at 0.01, you would miss 0.001, and so on



  • Ok but before you go, just want to make sure you know that this statement of yours is incorrect:

    In the strictest technical terms AI, ML and Deep Learning are district, and they have specific applications

    Actually, they are not the distinct, mutually exclusive fields you claim they are. ML is a subset of AI, and Deep Learning is a subset of ML. AI is a very broad term for programs that emulate human perception and learning. As you can see in the last intro paragraph of the AI wikipedia page (whoa, another source! aren’t these cool?), some examples of AI tools are listed:

    including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics

    Some of these - mathematical optimization, formal logic, statistics, and artificial neural networks - comprise the field known as machine learning. If you’ll remember from my earlier citation about artificial neural networks, “deep learning” is when artificial neural networks have more than one hidden layer. Thus, DL is a subset of ML is a subset of AI (wow, sources are even cooler when there’s multiple of them that you can logically chain together! knowledge is fun).

    Anyways, good day :)