Amol Mathur

Music Lover || Machine Learning Enthusiast || Be a Rebel....|| RT not endorsement, views very personal.

[Math Cafe @Riazi_Cafe_en]

The Binomial Theorem: https://t.co/YJ3IbPNNSj

[Math Cafe @Riazi_Cafe_en]

Harvard's "Advanced Algorithms"
by Jelani Nelson

📽️ Lecture Videos: https://t.co/kEAGXZ4pv3
📷 Lecture Notes: https://t.co/PWne8uFcmY

[Math Cafe @Riazi_Cafe_en]

Think Bayes, Bayesian Statistics Made Simple
by Allen B. Downey

PDF: https://t.co/wKc9yD60EX

[Math Cafe @Riazi_Cafe_en]

UC Berkeley's "Theoretical Statistics"

PDF: https://t.co/O12BsY0tJG

[Math Cafe @Riazi_Cafe_en]

UC Berkeley's "Introduction to Probability at an Advanced Level"

PDF: https://t.co/cibGWtpeo6

[Helle Lyng @HelleLyngSvends]

Primeminister of India, Narendra Modi, would not take my question, I was not expecting him to.

Norway has the number one spot on the World Press Freedom Index, India is at 157th, competing with Palestine, Emirates & Cuba.

It is our job to question the powers we cooperate with.

[The Math Flow @TheMathFlow]

The Beautiful Gaussian Integral.

[Math Cafe @Riazi_Cafe_en]

Stanford's "Probability for Computer Scientists" (2022)

Youtube Playlist: https://t.co/k6zGmqWnbO

[Math Cafe @Riazi_Cafe_en]

Cambridge "Statistics" lecture notes

PDF: https://t.co/gILAx1Kz8q
Example sheets & more: https://t.co/IsPxKtuZar

[Math Cafe @Riazi_Cafe_en]

"The USSR Olympiad Problem Book"

320 unconventional problems in algebra, arithmetic, elementary number theory, and trigonometry.

Archive link: https://t.co/4FtwIV9BF9

[Martin @martinmrmar]

Prof. Gilbert Strang's last lecture on Linear Algebra at MIT. True legend at the black board. https://t.co/sPXFICZfg7

[Pranav Mistry @pranavmistry]

https://t.co/EtsWj5MpWp
This is a gold mine for all #math lovers. A huge collection of Olympiad-level math problems. @MIT

[Martin @martinmrmar]

Prof. Gilbert Strang from MIT giving a lecture on Linear Algebra - solving a system of two linear equations using a matrix. He really was a great teacher! I think he is now retired.

[Amol Mathur @AmolMathur11]

@Iran_in_India Shameful. Targeting schools and hospitals is nothing less than terrorism.

[prathosh ap @prathoshap]

Tired of shallow GenAI courses?

Go deeper with: Principles of Generative AI

Math-first, Practice-driven, True understanding

I'm offering an online course with CCE IISc. Saturday mornings.

[Amit @HeyAmit_]

Instead of watching a 2 hour movie, watch this 1 hour MIT lecture by Jim Simons.

It’s basically Kasparov-level strategy applied to markets.

The Quant King reveals more than most Wall Street players learn in an entire career.

[prathosh ap @prathoshap]

Everything is now public and open-source for those who care about the inner workings of generative architecture.

Full Course playlist - https://t.co/WMbkRNpQVO

Lecture Notes & Assignments - https://t.co/h4RtqkVkvG

Github Repo - https://t.co/I5hp5ppwtG

[prathosh ap @prathoshap]

I originally taught this curriculum for the IIT Madras BS program.

We bypassed the slides and went old-school: writing out every single equation, derivation, and proof by hand. Then, we implemented every concept in PyTorch from scratch.

What it covers: • Diffusion Models • RLHF (PPO, DPO) • GANs & VAEs • Auto-Regressive & Language Models

[prathosh ap @prathoshap]

The tech industry convinced an entire generation of developers that they can skip the math.

They are wrong. You cannot build foundational architecture with a "GenAI in 5 days" bootcamp. Real engineering requires staring at the equations until they make sense.

If you actually want to build state-of-the-art models, you cannot skip the math. No fluff, no quick-bytes. Just the mathematical foundations of Deep Generative Modeling.

Here is a course I designed to put everything you need to learn.

[Quant Science @quantscience_]

Financial Statement Analysis with Large Language Models (LLMs)

A 54-page PDF: