yipkwonghung

[yipkwonghung @YipKwonghung]

Weekend reading: Implementing agentic flow with rabbitMQ and Google GenAI Batch mode to the token cost for 50%!
https://t.co/ifAYlPwDu7

[Peter Holderrieth @peholderrieth]

We are also releasing self-contained lecture notes that explain flow matching and diffusion models from scratch. This goes from "zero" to the state-of-the-art in modern Generative AI.

📖 Read the notes here: https://t.co/RULWDgn9pm

Joint work with @EErives40101.

[Kirk Borne @KirkDBorne]

"Pen and Paper Exercises in #MachineLearning"

Download 211-page PDF: https://t.co/QpOLEEaIj5

Author’s GitHub: https://t.co/nqIVMnuBV4
—————
#DataScientist #AI #ML #DataScience

[Math Cafe @Riazi_Cafe_en]

MIT's "Distributed Systems"

📽️Lecture Videos: https://t.co/gFU2g4fWCO
📷Schedule: https://t.co/UmFmwV340l

[Math Cafe @Riazi_Cafe_en]

UC Berkeley's "Machine Learning" lecture notes

PDF: https://t.co/ktJDR3gUEf

[Pramod Goyal @goyal__pramod]

A fascinating reading on Python metaclasses

(If you do not know why you should read it, read it.)

[Math Cafe @Riazi_Cafe_en]

Mathematical Methods
by Joseph Powers

PDF: https://t.co/W4JDnsFxYy

[Math Cafe @Riazi_Cafe_en]

Probability lecture notes
by Tomasz Tkocz

PDF: https://t.co/MHkJKM54kX

[Kareem Carr, Ph.D. @kareem_carr]

statistics is cool

[Math Cafe @Riazi_Cafe_en]

Stanford’s machine learning lecture notes
By Andrew Ng and Tengyu Ma

Pdf: https://t.co/OJSfwlBmF6

[Math Cafe @Riazi_Cafe_en]

Yale's "Randomized Algorithms" by James Aspnes

PDF: https://t.co/IlYpgM6gZb

[Math Cafe @Riazi_Cafe_en]

"Intermediate Calculus and Linear Algebra" by Jerry Kazdan

PDF: https://t.co/B64UOZDfVt

[Eyo Eyo, PhD @Eyowhite3]

The most important plots you need as a data scientist and analyst.

[Vaishnavi @_vmlops]

I found a repo that contains Python implementations of ML algorithms built completely from scratch
https://t.co/7jtcie4Kkj

[Eyo Eyo, PhD @Eyowhite3]

Very complete Python cheatsheet for beginners.

[Nicolas Boucher @BoucherNicolas]

100 ways to visualize your data

[Math Cafe @Riazi_Cafe_en]

Theodore Shifrin's "Differential Geometry"

PDF: https://t.co/i77HxSx6n7

[Math Cafe @Riazi_Cafe_en]

Oxford's "Probability, Measure and Martingales"

Lecture Notes: https://t.co/bhfKSdKxSJ
Course Website: https://t.co/xDg6Avw5pY

[Math Cafe @Riazi_Cafe_en]

Maryland's "Quantum Algorithms" lecture notes
by Andrew Childs

PDF: https://t.co/5toDtPVc5S

[Math Cafe @Riazi_Cafe_en]

Oxford's "Multivariable Calculus" lecture notes,
by Richard Earl

https://t.co/1C2FPuC39L