I'm on mobile.
I feel like starting a few days ago, every time I open reddit I see stuff I've already seen. Like it'll refresh when I open the app and just scramble everything I saw an hour ago when I had the app open last.
I used to be able to scroll forever and only rarely see stuff I'd already seen.
And I'm not talking about reposts, because I upvote a lot of things I see and 70-80% of posts I'm seeing on my home page are already upvoted by me. There have always been reposts, this post isn't about that.
If this is an algorithm thing, can anyone advise how to fix it? I'm finding it very difficult to use reddit anymore because of this.
Edit: I'm seeing a lot of you are having this issue as well. Is there somewhere we can all complain about this and hope they change it back? I just haven't gone on reddit in 3 days, they're kinda losing me here if they don't fix it, and probably some of you too
I have made significant changes since the last one.
Improvements
- Picks tickers after scanning author profile for Suspicious Behaviour, Ticker Spam, Karma Criteria (and some secret sauce)
- Picks the Ticker posts that are Positive
- Filters pump/dump posts
- Avoids low-quality posts
Trending in the last 48 Hours:
| Ticker | Mentions | Name | Industry | On RobinHood | Previous Close | DD | Catalyst | Author Reliability | Rating | 5d Low | 5d High | 1d Change (%) | 5d Change (%) | 1mo Change (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OZSC | 3 | Ozop Energy Solutions, Inc. | Electrical Equipment & Parts | No | 0.3784 | N/A | OZSC hires new Director of Operations | N/A | N/A | 0.148 | 0.385 | 51.42 | 122.07 | 2456.76 |
| ZSAN | 3 | Zosano Pharma Corporation | Biotechnology | Yes | 1.93 | NASDAQ: $ZSAN - Zosano Pharma Corp. - The COVID Pennystock with 508.69% UPSIDE Potential! | N/A | 3.8 | 6715.08 |
Click this for the link to my page: Feel free to take a look
UPDATE: Parlay your picks for the right price with the parlay calculator now live!
Note: if this does not render, just head to our homepage - given here and that will get you to todayβs picks - we are addressing this problem ASAP
EDIT: Click this link for a breakdown about the theory behind the model: Found here
EDIT2.0: The model is now OPEN SOURCE, anyone who want to peruse, contribute, discuss the workings, have a look here
EDIT3.0: For all those interested in keeping up with the growing page, we are building out learning resources/guides to thinking about bets probabilistically at the following address we hope you all enjoy, learn and share your thoughts!
Feel free to contact us if you have ideas, thoughts, or suggestions for anything on any of these pages! We really appreciate you taking the time to head over and letβs hit these bets!!!
Obviously not financial advice, etc.
Posting just to see if I'm on the same page as everyone else. My assumption between spoonfuls of wallpaper paste is that they'll use the premarket for continued short ladder attacks/("alleged") manipulation as we've seen for the duration of this week? I plan on using it as a chance to buy more if so.
Unless I'm mistaken there isn't too much more than that they could do given how little of their short they were able to cover besides waiting for us to trigger the squeeze?
For those following the discussions of updating the work algorithm for an alternative, there is an update on the Equihash option available in the forums: https://forum.nano.org/t/equihash-as-a-new-pow-algorithm/556/2. Head over to catch up on the latest and join the discussion - especially around minimum memory requirements: https://forum.nano.org/t/minimum-memory-requirement-in-a-new-pow-algorithm/439.
DO NOT PANIC $AMC IS FINE! BUY AND HOLD! $AMC
Hedge funds are selling to each other at low rates to make the algorithm think there is a mass of sells. this is a scare tactic. just hold the fucking line
https://github.com/sameera-madushan/Diceware-Password-Generator
https://i.redd.it/kzl259o0hig61.gif
do what the title says, please
I"m setting an alarm in my calendar for this
Hey r/learnmachinelearning! I hope you all are all doing well.
Recently I created SeaLion, a machine learning library designed to help newcomers learn ml in a way that's more about understanding the algorithm than its class functions. The librarie is well-tested and has 70+ stars on GitHub.
In order to supplement the library I wanted to write some examples of what these algorithms could be used for. I did this in a series of 12 jupyter notebooks. I think that they are incredibly helpful as they apply ml algorithms to real world datasets like breast cancer, iris, titanic, spam classification, moons MNIST, etc. They also compare and contrast a lot of the algorithms so you can see first hand which is best to use.
You can find them over here : GitHub Examples
A list of all of what the notebooks are on can be found in the screenshot below :
Code examples of SeaLion to explain ML algorithms
Please feel free to use them.
Also if you want to learn more about sealion here are some links :
Give it a star if you can; that always helps.
I hope you enjoy the notebooks. Feel free to ask me any other questions!
Front-end software engineer here. I know I'm great at what I do, but for some reason I just suck at these technical questions. I can hardly pass Leetcode easy questions, and I get really frustrated and doubt my abilities and that's when the imposter syndrome kicks in.
Anyone else great with practical coding but bad at abstract algorithms and concepts? Just felt like it would be good to know I'm not the only one. Also if anyone has recommendations for resources please let me know!
