Spurly

Building TradeX

[DANNY @Danny_Crypton]

You only need Memescope to be able to make 30 $SOL ($5k) per day

The secret? FILTERS.

Here's how you can do it 🧵👇

[Spurly @Proponent_]

@BMW I8

[Ja Leto @_falsi1ke]

Never sleep with low-quality girls just because they're easy.

You will absorb their bad energy.

[Abhishek🌱 @Abhishekcur]

The most simple and beginner friendly book for learning "Data Structures in C"
-it's super beginner friendly
-it's that book that I have used for my college studies
-this is my first book for data structures
-it is written by Indian Author
-it's just mine experience, so use it according to your preferences
-because many people are asking, that's why I am telling my recommendation.

[Spurly @Proponent_]

@chillsolgirl 3gAxwVhJpuuajvSPjECVDp83UxhFWX33Yh4A4FDihFZq

[Spurly @Proponent_]

@notEezzy @kucoincom Crazy❤️💚🟥🟩

[Spurly @Proponent_]

@NotinoG

[Spurly @Proponent_]

@NotinoG This is a wrong Set up.

[Sky Sports Premier League @SkySportsPL]

Admin started prepping this before Raya decided to make things interesting again 👀

[Matt Dancho (Business Science) @mdancho84]

Bayesian data analysis is a fundamental concept in data science. But it took me 2 years to understand its importance. In 2 minutes, I'll share my best findings over the last 2 years exploring Bayesian Modeling. Let's go.

1. Why Bayesian Data Analysis? Bayesian modeling is a powerful tool in statistics and data science, especially where traditional approaches fall short. It avoids arbitrary assumptions and provides distributions of possible values instead of just point estimates.

2. Bayes Theorem: Bayesian modeling is based on Bayes’ theorem. Bayes' Theorem provides a mathematical formula to update the probability for a hypothesis as more evidence or information becomes available. It describes how to revise existing predictions or theories in light of new evidence, a process known as Bayesian inference.

3. Simplification of Bayes’ Theorem: Since X (data) is not dependent on θ (the model) and can be hard to calculate, Bayes’ theorem is often simplified to P(θ|X) ∝ P(X|θ) × P(θ), meaning the posterior distribution is proportional to the likelihood times the prior.

4. From Bayesian Theorem to Bayesian Modeling: Bayes’ Theorem provides a process for constructing a Bayesian model. Combining key ingredients: Likelihood and Prior distributions to produce Posterior Distributions.

5. Calculating the Posterior Distribution: There are two main methods: direct calculation using complex equations, and simulation methods which create samples from the posterior distribution for summarizing information about parameters. Many software programs like PyMC, Brms, and Stan use sampling methods such as Markov Chain Monte Carlo (MCMC).

6. Advantages of Bayesian: The Bayesian approach allows for direct inclusion of prior knowledge, transparency in modeling steps, and provides broad information about the problem, including risks, uncertainty, and variability.

7. Business Cases: Any time knowledge of uncertainty is a business requirement, Bayesian modeling can benefit the business. This includes Demand Forecasting, Pricing Strategy Optimization, Customer Analysis, Credit Scoring and Financial Modeling. Businesses need to know not only a point estimate but the risk or confidence of the prediction.

===

Interested in applying Bayesian, Data Science and Machine Learning to Business. I’d like to help.

I put together a free on-demand workshop that covers the 10 skills that helped me make the transition to Data Scientist: https://t.co/LR39RJ5XKB

And if you'd like to speed it up, I have a live workshop where I'll share how to use ChatGPT for Data Science: https://t.co/EaMpKrJiqX

If you like this post, please reshare ♻️ it so others can get value.

[Spurly @Proponent_]

@Amariih1 @DailyLoud There’s Nothing hard about Trig

[PyTorch @PyTorch]

PyTorch 2.2 is here 🎉

Featuring:
- SDPA support of FlashAttention-2
- New ahead-of-time extension of TorchInductor
- device_mesh, a new abstraction for initializing and representing ProcessGroups
- A standardized, configurable logging mechanism called TORCH_LOGS

[Spurly @Proponent_]

@Invhestor_K99 @KojoForex Don’t trade US30 if you are not Experienced and Boxed Up

[Scuderia Ferrari News @FerrariNewsUK]

OPPORTUNITY:

We’re is looking for a graphic designer to join the MercedesNewsUK team! 🎨

We're looking to partner with someone who can produce high quality graphics for our page.

If you are interested, please send us a DM or reply to this post with an example of your work.

[MrBanks💰 @Mrbankstips]

All is well with me.

Everything is working out for my highest good.

Out of this situation only good will come.

I am safe.

I am blessed.

The Universe is on my side.

I affirm. 🍏

[Spurly @Proponent_]

This doesn’t teach you anything. The Frictional forces are slightly different. Hence making the Ball within the plane Surface. Accelerate slower.

[Historic Vids @historyinmemes]

What does this teach you about life?

[Spurly @Proponent_]

@Chartswithmax In my Opinion, you should Look for Sell Positions on XAUUSD

[Spurly @Proponent_]

I’ll be a F1 Driver for Ferrari one day.

[Scuderia Ferrari HP @ScuderiaFerrari]

An important date for your diaries…

2O24 loading ⏳

[Spurly @Proponent_]

@UncleKad @PetiteNiella Don’t end Statements with Please, when conversing with a Girl.