akay.crypto

@Varangian_Tagma @threadreaderapp unroll

For hundreds of years the “Wild Fields” of the Pontic Steppe, was a battleground. Millions would be driven to the great slave markets of Crimea and sold to a life of misery in the Ottoman Empire. This brutal conflict birthed the Cossacks, modern Russia, & changed Europe forever.

@BowTiedTikTok TikTok

For $3/hour, an assistant from the Philippines can scale your TikTok to 500,000+ Followers in 4 Months. Here's the exact framework I use in 5 steps: (works on ALL social media platforms)

@levikul09 Great explanation, thanks! Do you have a good, visualising example for Data Leakage?

Data Leakage is more dangerous than Overfitting. Why? There is a big difference between the two. If you understand this you will realize. 🔽 Let's define both concepts and examine how they perform on different datasets: Overfitting It means that the model learns the training data too well. It also learns the noise and the outliers. These are only present in the training data, so with unseen data the performance will be poor. Performance on Training Data: From the definition we see that the performance on training data is really high. Performance on Test Data: Test data should work as unseen data. If we properly separate it, the overfitted model will perform poorly. What the model learned during the training is not applicable to the test set. Performance on New Data: An overfit model will perform poorly on new, unseen data for the same reasons. An overfitted model works well only with the training data, so we can spot a bad model early, at the test stage. Data Leakage Data leakage is when some information from outside of the training set spoils the model. The source of this 'infection' is usually from the test set. The model 'sees into the future' and learns information it should have no access to. Performance on Training Data: Like an overfitted model, a model with data leakage will perform well after training. Performance on Test Data: Here comes the difference! If the test data is leaked, then the model will perform well at this stage. This is because the model could learn some aspects of the test set. The test set should work as an unseen dataset! But here the model had some sort of access to it. Performance on New Data: In most cases, the performance on new data will drop drastically. The good performance was generated by the leaked info, which has no help here. If you have a too-good-to-be-true model after the test, you probably have a leakage! Data Leakage is way more dangerous since it can give you false high performance during both the training and testing phases. ___ That's it for today. I hope you've found this Tweet helpful. Like/Retweet for support and follow @levikul09 for more Data Science content. Thanks 😉

@garritzmannj @jvtklooster 🙌

I keep getting more and more codes for 🔵☁️. Anyone still interested?

@pashov @web3parties @pashov sorry if it's a dumb question but do you have a link where I can access the content of the secureum bootcamp? On google I just found older links where one can apply for the first bootcamp in 2021.

@web3parties Go through Secureum bootcamp and Patrick Collins Foundry YouTube course (free) and check my pinned tweet (paid)

My past year in smart contract security stats: - Done ~40 security contests, ~33 solo security audits, ~7 team audits - Reviewed over 300 contracts - Found over 50 Critical/High & over 100 Medium severity vulnerabilities - Over 800 hours of highly focused work - Made ~$320k

@JoncySumulong @nickfloats The thread says by separating the prompts via '::'

@nickfloats what command do you use to blend prompts?

Prompt blending in Midjourney is one of my favorite things to do. Instead of blending images, try blending prompts. It generates incredible results with a ton of variety & flexibility. How to prompt blend:

@MacroAlf @SaveToNotion

Massive Fed meeting, and huge market reaction. A thread that breaks down what happened, step by step. 1/

"The greatest shortcoming of the human race is our inability to understand the exponential function" - Al Bartlett

@BobEUnlimited @verdadcap Great thread! Any examples of the most 'mismatched' countries or companies?

The dollar’s rise matters much more to the rest of the world than to the US economy. The dollar can move significantly without concern from the Fed. But for the rest of the world, these moves create a significant bearish shock. A thread:

@polak_jasper Slides

My thread on McKinsey's slides went crazy viral. Many have asked for the slides with: 1. All ideas & examples 2. A step-by-step template It's worth $49, but you can get it for free. RT this, comment "Slides" and I'll DM you a link. (Must be following) twitter.com/polak_jasper/s…

Fascinating thread by @culturaltutor! It is astonishing how humans live trough & experience the same things but always have the feeling that that this time it's unique, different or worse than before. I think this is as eternal as lesson #21.

Excellent piece by @Noahpinion! It is well written and well researched with relevant data as a basis.

@DoombergT How is exactly is the mechanism for it to be bullish for WTI?

Here's a proposal for how the price cap is supposed to work. Seems incredibly bullish for WTI...

Really useful charts!

@10kdiver Great thread, as always! Do you have some examples of capital light industries?

1/ Get a cup of coffee. Many of us are grappling with high inflation. We are worried about how inflation is going to impact our portfolios, and our costs of living. In this thread, I'll walk you through why inflation is so dangerous for businesses and investors.

Interesting if the current announcement of @opensea will trigger similar developments like @Uniswap. Great thread by @atareh.

Soulbond tokens (SBT) sound very promising. I can think of a lot of interesting use cases already.

Great thread which shows the similarities between Soros' attack on the $GBP and the attack on $UST. DeFi is a young industry and hence a lot of fights and its learnings that TradFi had already will be fought again to some extent.

So many projects with real-life improvements already working, building and changing the modus operandi step by step. Great list by @MishadaVinci

@PastryEth How essential but also hard it is to time the profit taking. I find it way harder than to time a good buy point

What’s the most important lesson you’ve learned this cycle?