Can Oje Get your Next Triumphing Betting Number?

AI operates based on data. We have years of lottery number data. Can we use it to pick the next number?

What are the characteristics of problems that can be solved by AI and machine learning?
Video Rating: / 5

20 Gedanken zu „Can Oje Get your Next Triumphing Betting Number?“

  1. Just wonderful, been searching for "the next lottery numbers will be" for a while now, and I think this has helped. Have you heard people talk about – Zenulian Lottify Bonkers – (do a google search ) ? Ive heard some great things about it and my mate got great success with it.

  2. I learned about Computer Science and Automation Control. I know AI and computer are stupid, but they are hardworking and able to remember manythings.
    I understand your point well but there are something in my mind.
    If we notice, there are some set that never win, like 1-2-3-4-5-6 / 1-5-10-15-20-25 / 12-13-14-15-16-17 / …..
    And we also have some number that show up more than others.
    What if we can make AI to work with those "show up value" ?
    For example the number 27 show up "43" times but doesn't mean it worth 43 values , AI can find out the real value of number 27 .
    Then they can use that value to figure which methods to eliminate the "never win set" have better result.
    – I don't think the jackpot will be guarantee but still better than buy 1.000.000 times a "never winning set".

  3. The answer is actually yes, but, not the way Data is handled the way it is presented and understood in this video. There are short term trends in lottery, trends that can not be quantified as distributed over time as traditional understanding of classic mathematical distribution is. Take a hint at how Alpha Zero learned to master chess in as quick as four hours.

  4. What do you mean?
    Patterns actually has a lot to do in pattern of what is probably going to happen in a future. It just requires to include dates, time difference between dates, and events that happen.

  5. Nice try!

    There's a difference between theoretical and empirical probability. While in theory it's always the same probability, as many can observe the frequency of occurrence is totally different.

  6. so AI cant predict because there is no pattern , well many think there are pattern and it is entirely possible to predict numbers which are more likely to appear than others, by following the same behaviour patterns as per Law of Large Numbers.

  7. Very nice way of introducing AI into reality anytime I tell someone I work in AI for thr marketing space they think of the garbage spewed.

Schreibe einen Kommentar zu PIZZA MAD DOG GAMER Antworten abbrechen

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind mit * markiert.