@chrispathway: 1. Code linear regression from zero (Patrick Loeber, ML From Scratch) 2. Implement PCA with linear algebra (Patrick Loeber) 3. A neural network in pure numpy (Victor Zhou) 4. A Markov chain text generator (Ben Hoyt) 5. A decision tree from scratch (Patrick Loeber, ML From Scratch) #ai #Tech #machinelearning #math #student

ⱮꫝhꫝdÍ Ӈꫝຮꫝɳ :

Between marketing and programming, which is the best option? Which one offers a better career path and higher earning potential?

arm.d7 :

are these hard to do as a complete beginner with only basic python knowledge

samChisem29 :

on the first page: multinormal distribution, chain rule, logloss, analytical solution of regression with MSE, Bayes, SVD, sgd, softmax, mle, bias-varinaceb decomposition

darkiaar :

Coming from someone who’s studying data science & AI, bro legit named all the subjects i gotta learn soon 😂

camt23 :

Backprop by hand is so annoying, especially if you have any sort that of complex input or complex initialized weights

gs72 :

👍 great post

👵🏽 :

while data science/statistics is your forte i was wondering if you had any data engineering tips

danyaaa :

Observance :

🥰🥰🥰

Phan Phoun :

🥰🥰🥰

meddorn2 :

: ребят, есть желающие учиться вместе по дс ?? я начал учить бекенд, и думаю будет веселее, и интереснее учиться вместе)