Kevin Villa

Hi! I'm Kevin c:
Data Science and Machine Learning Enthusiast : )
MACHINE LEARNING 🖥️ | DATA SCIENCE🔬

[Math Cafe @Riazi_Cafe_en]

Stanford's "Mathematical Methods for Computer Vision, Robotics, and Graphics"

PDF: https://t.co/75DVMuAp5B

[知道这个梦 @knowthisdream]

lobotomize myself

[Kirk Borne @KirkDBorne]

Machine Learning for Financial Risk Management with Python — Algorithms for Modeling Risk: https://t.co/oBePOF3nrh

[妄想癖 @aaaa____dry]

作られた狂気のエンタメ

[Kirk Borne @KirkDBorne]

“Mathematics for Computer Science”

Free 920-page PDF download, from MIT:
https://t.co/QnexP4k4ET

[Tom Dörr @tom_doerr]

AI engineering curriculum from math to Agentic AI

https://t.co/S2t5PFFxFd

[Oscar Arias @OACerebro]

Enjoy!

https://t.co/YybiZJvXP8

[Tom Dörr @tom_doerr]

Curated university-level CS video courses

https://t.co/aUDukooGEN

[freeCodeCamp.org @freeCodeCamp]

System design is how large-scale applications get planned before they’re built.

And in this course, you’ll learn how to design scalable, reliable systems step by step.

It covers APIs, databases, caching, and real-world architecture patterns.

https://t.co/7i4jQVqeD1

[freeCodeCamp.org @freeCodeCamp]

AI Engineers design, build, and deploy AI models and systems to solve complex real-world problems.

And if you want to get into the field, this handbook is for you.

In it, @tatevkaren7 discusses must-have skills, shares tips for getting started, and goes through use cases for AI tools & technologies.

https://t.co/55cgy12Cxh

[Eyo Eyo, PhD @Eyowhite3]

Real Life Python Programming.

Its FREE for beginners interested in Python for everyday stuff.

https://t.co/N0UPjkjqPR

[Dhairya @dkare1009]

Most people jump directly into Machine Learning. Without understanding the MATHS behind it.

This playlist fixes that: https://t.co/hza92IhT2Y

What it covers:

Linear Algebra (vectors, matrices, transformations)

Calculus (gradients, optimization)

Probability (uncertainty, distributions)

Hands-on exercises to build intuition

This is the math used

Neural Networks

LLMS

Deep Learning

And the best part > it's explained visually and intuitively.

No unnecessary theory. Only what ML engineers actually need.

If you want to go beyond tutorials and truly understand ML: Learn the math. Everything becomes easier.

Repost to help others & follow for more..

Check my profile if you are planning to level up in Al

[SAROJ PARAJULI @Parajulisaroj16]

Econometrics is a branch of economics that uses statistical and mathematical methods to analyze economic data. https://t.co/7h0wjBWCeA
#DataScience #Economic #RStats #DataScientist #machinelearning #ArtificialInteligence #datavisualizations

[Math Cafe @Riazi_Cafe_en]

MIT's Introduction to Computational Thinking and Data Science

Slides: https://t.co/O4RmbtKXoQ
Videos: https://t.co/Yf5mVijuXz

[Alif Hossain @alifcoder]

AI Engineering Toolkit

A curated list of 100+ LLM libraries and frameworks for training, fine-tuning, building, evaluating, deploying, RAG, and AI Agents.

100% Open Source

https://t.co/CA4A2W7fxU

[freeCodeCamp.org @freeCodeCamp]

If you're an aspiring Data Scientist, Data Science competitions can help improve your skills.

And this course teaches you about Kaggle, a popular competition platform & DS community.

It covers picking competitions, feature engineering, selecting a model, & more.

https://t.co/GRctZvtulI

[Abraham Okah(info hub) @AbrahamOkah2]

Google Drive link to learn:

-Data Analytics
-Business Analysis
-Data Visualization
-SQL
-Big Data
-Resume tips
-Project Mgt
-Product Mgt
-Software Eng
-UI/UX Design
-Interview tips and tricks

Link - https://t.co/kAwg14d2W8

Share for visibility

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

Stop learning Python like a tutorial addict.

Start thinking like a Computer Scientist. 🧠🐍

I’m giving away Think Python (3rd Edition) – Allen B. Downey
The book that builds real fundamentals, not copy-paste skills.

If you’re serious about mastering Python the right way, this is for you.

To get:
1️⃣ Follow MUST so I can dm
2️⃣ Like + RT
3️⃣ Comment “THINK”

[Oscar Arias @OACerebro]

Enjoy!

https://t.co/RKCakL3m1j