docs(ai-data-scientist): expand learning resources for mathematics and coding topics (#10416)

Co-authored-by: Charan Chaitanya Devanaboyina <chaitanya.devanaboyina@finmkt.io>
This commit is contained in:
Devanaboyina Charan Chaitanya
2026-10-05 09:40:22 +02:00
committed by GitHub
co-authored by Charan Chaitanya Devanaboyina
parent a261c81b0e
commit 3b43512a75
2 changed files with 9 additions and 2 deletions
@@ -8,4 +8,5 @@ Visit the following resources to learn more:
- [@official@The R Manuals (CRAN)](https://cran.r-project.org/manuals.html)
- [@course@Python for Data Science, AI & Development](https://www.coursera.org/learn/python-for-applied-data-science-ai)
- [@course@Kaggle Learn: Python](https://www.kaggle.com/learn/python)
- [@article@Introduction to Data Science with Python (Harvard)](https://pll.harvard.edu/course/introduction-data-science-python)
- [@course@Introduction to Data Science with Python (Harvard)](https://pll.harvard.edu/course/introduction-data-science-python)
- [@book@Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/)
@@ -4,4 +4,10 @@ Mathematics provides the foundational language and tools for understanding and b
Visit the following resources to learn more:
- [@book@Linear Algebra Done Right - Sheldon Axler](https://linear.axler.net/LADR4e.pdf)
- [@course@Linear Algebra (Khan Academy)](https://www.khanacademy.org/math/linear-algebra)
- [@course@Multivariable Calculus (Khan Academy)](https://www.khanacademy.org/math/multivariable-calculus)
- [@video@Essence of Linear Algebra (3Blue1Brown)](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab)
- [@video@Essence of Calculus (3Blue1Brown)](https://www.youtube.com/playlist?list=PLZHQObOWTPOMsr9K-rj53DwVRMYO3t5Yr)
- [@book@Mathematics for Machine Learning - Deisenroth, Faisal, Ong](https://mml-book.github.io/)
- [@book@Calculus Online Textbook - Gilbert Strang (MIT)](https://ocw.mit.edu/courses/res-18-001-calculus-fall-2023/mitres_18_001_f17_full_book.pdf)
- [@book@Linear Algebra Done Right - Sheldon Axler](https://linear.axler.net/LADR4e.pdf)