Sergio @sergiopessoa23

Quite a good atmosphere at Brazilian football to be fair.

Principal Component Analysis (PCA) is the gold standard in dimensionality reduction with uses in business. In 5 minutes, I'll teach you what took me 5 weeks. Let's go! 1. What is PCA?: PCA is a statistical technique used in data analysis, mainly for dimensionality reduction.…

Bayes' Theorem 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 Statistics. Let's go. 1. Background: "An Essay towards solving a Problem in the…

In honor of Taylor Swift's 34th birthday, here are 34 Taylor series.

@sergiopessoa23 Yeah that’s how I’d approach it as well!

On Poisson Distribution.

I think every math person should have this “17 Equations that Changed the World” as a poster in their room. 👌

Dont be misled by how Violin charts look It's one of the powerful visualizations in Statistics Let's learn more /🧵/

3 years ago I struggled to land my first freelance ML engineering contract. Then I discovered this ↓

@clcoding The output is: g The find() method returns the index of the first occurrence of the substring (in this case r ) within the string, or -1 if the substring is not found. Since 'r' is not found, find() returns -1, now x contains -1. In Python, a list index of -1 refers to the…

Difference between Δ, 𝑑, 𝛿 and ∂ Δ - finite variation of a quantity (not infinitesimal) 𝑑 - infinitesimal variation of a quantity or differential operator 𝛿 - infinitesimal variation of a quantity or variation of a functional ∂ - partial derivative

Every Data Scientist needs to know these ideas. They will blow your mind. 1. Correlation vs Causation P(A | B) is the probability of A given B. It is the probability that we will observe A given that we have already observed B. P(A | do(B)) is the probability of A given…

AI/ML models are generally winner-take-all. For tabular problems, I use ~3 models 99% of the time (LightGBM, XGBoost, RF) For text problems, I use 1 model 99% of the time (GPT-4) unless I'm experimenting with models like Llama 2. Why would you use the second best model? This…

Goals, xG, xGOT, xG/shot and so much more! I get frequent questions on use of xG and other parameters. This is a 🧵on some of my thoughts and some examples of using them in different ways. 1st is xG: it is basically average chance quality calculated from shots. xG can be 1/x

New xG and advanced data on FBref for 2. Bundesliga Belgium Segunda Serie B Ligue 2, and Argentina Currently just 23-24 but will be backfilling 3-5 years soon.

⚽ FBref ⚽ @fbref

8 months ago

Well, will you look at that. Hamburg is leading the 2.Bundesliga in xG differential. Union SG is edging Brugges in the Belgian League fbref.com/en/comps/33/2-… fbref.com/en/comps/37/Be…

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US Open 2023 singles winners📊

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Pretty clear that Roberto De Zerbi is The Man. Also pretty clear that Brighton's defensive numbers need to be adressed asap, or all that sexy offense won't make any impact at all. #BHAFC

Marcus Rashford was involved in 9 sequences that ended in a shot, more than any other player on the pitch today #ARSMNU

Quais são os times mais EFETIVOS no Brasileirão? • Flamengo, Grêmio e Botafogo são os principais destaques • Vasco é o último tanto em taxa de conversão como em porcentagem de chutes no gol • O Coritiba é um dos melhores times em porcentagem de chutes no gol, mas mesmo assim…