Hollywood's miracle drug just destroyed 1,800 lives.
Ozempic users developed a horrifying disease overnight.
And it can't be cured.
Now, Ozempic is facing a $2 BILLION lawsuit.
Here's the devastating side effect they kept quiet:
I Stand with Israel because Lebanese Christians were raped and killed by the same demons that committed the acts of Oct 7.
I Stand with Israel because throughout history the wars have always been with the terrorist proxies occupying Lebanon and not with the state of Lebanon.
I Stand with Israel because Israel has always stood and still stands with the Lebanese people.
Petit jeu : Citez-moi un GRAND classique (peu importe le genre) de la littérature et celui qui remportera le plus de voix, je le lirai au cours de cette année ! 🤓
(Attention, ceux qui me citent plusieurs romans, je les comptabilise pas)
The biggest airdrop season in crypto history is just around the corner.
Many projects that delayed their airdrops are finalising dates now that market conditions have improved.
There is a huge opportunity to capitalise.
🧵: Here are the top 5 airdrops I'm focusing on.👇
Who has a fair claim on the region of Israel and Palestine?
It's time to go deep to understand:
• History
• Geography
• Religion
• Legal claims
• Morality
• And more:
The more entrenched I become into this whole 'airdrop game', the more I realize that not every single dollar is worth chasing.
Why would I compete for a small remaining pie with a truckload of participants when there are over 30+ projects that are either:
• Heavily underfarmed
• Have yet to airdrop for the first time and top 20 MC potential
Note:
Aptos and Optimism already airdropped, but are still worth farming; they have yet to distribute the largest piece of the pie.
🚨[THREAD]Comment résoudre vos problèmes posturaux ? 🚨
Ces 5 exercices qui ont sauvé 25 ans de mauvaise posture
Téléphone - études - travail en bureau, autant de causes qui rendent les gens de + en + courbés dans leur façon de se tenir et de se déplacer.
BONUS à la fin.🔥
To start with Machine Learning:
1. Learn Python
2. Practice using Google Colab
Take these 2 free courses:
• Introduction to Python Programming (Udacity)
• Machine Learning Crash Course (Google)
If you need a bit more time before diving deeper, finish the following Kaggle tutorials:
• Intro to Machine Learning
• Intermediate Machine Learning
At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle.
If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed.
From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit.
The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them:
• MIT 6.S191 Introduction to Deep Learning
• DS-GA 1008 Deep Learning
• UC Berkeley Full Stack Deep Learning
• UC Berkeley CS 182 Deep Learning
• Cornell Tech CS 5787 Applied Machine Learning
Many different books will help you. The attached image will give you an idea of my favorite ones.
Finally, keep these three ideas in mind:
1. Start by working on solved problems so you can find help whenever you get stuck.
2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice.
3. Find a community here on 𝕏 and share your work. Ask questions, and help others.
During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right.
Here are the good news:
Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in the space.
Focus on finding your path, and Write. More. Code.
That's how you win.