TGViewer
Machine Learning Machine Learning @machinelearning9 · 41.7K subscribers
Post #6113 1.95K
Foundations of Applied Mathematics is a free series of four textbooks created for the applied and computational mathematics program at Brigham Young University. 📚

The series includes four volumes:
*   Mathematical Analysis
*   Algorithms, Approximation, and Optimization
*   Uncertainty and Data
*   Dynamics and Control

The series is suitable for upper-level undergraduate and introductory graduate students. It also includes Python lab exercises and practical assignments, connecting mathematical theory with numerical computation, algorithms, data analysis, and scientific applications. 🐍

I particularly appreciate that these are not just theoretical textbooks. The accompanying Python materials help to illustrate how these concepts are applied to real-world computational problems. 💻

https://foundations-of-applied-mathematics.github.io

#Mathematics #Python #Education #DataScience #Algorithms #Learning

✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
  • ❤ 4
More from @machinelearning9
  1. Oct 7, 2026A distinctive bot for subscribing to courses on the most popular educational platforms acr…
  2. Oct 7, 2026100 Machine Learning Interview Questions and Answers 🤖 ✨ Join Best TG Channels https://t.…
  3. Oct 7, 2026Hands On Python Data Science - Data Science Bootcamp Master Python for Data Science with R…
  4. Oct 6, 2026"Understanding Transformers and Attention Mechanisms" - a concise mathematical introductio…
  5. Oct 5, 2026Machine Learning pinned «https://t.me/UdemySybot?start=ref_418788114 Get Free Courses 😁»
  6. Oct 5, 2026📚 "Fundamentals of Computer Vision" is a free online book published by MIT Press, providi…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →