Awesome news for beginners in #MachineLearning and #DeepLearning

We've all come to love Dr. Strang's Linear Algebra Lectures from MIT. But his books are sometimes expensive for students and also not available.

Now Stanford University changed all that with their free book they released called "Introduction to Applied Linear Algebra" written by Stephen Boyd and Lieven Vandenberghe

Go get them all here on my #Github page, I will create some beginners lectures and #Python & #Julia notebooks there soon.

Root / main folder: https://lnkd.in/de8uepd

1. The 473 page book itself: https://bit.ly/2tjFNdA
2. Lovely Julia language companion book worth 170 pages! : https://bit.ly/2BxYGy0
3. Exercises book: https://bit.ly/2RZoVTf
4, Course lecture slides: https://bit.ly/2N9TZPC
#beginner #datascience #learning #machinelearning
@kdnuggets @datasciencechats
Source: Linkedin - Tarry Singh

Huge repo of courses, resources covering Computer Science, AI, ML, Data SCIENCE, Maths and lot more
#beginner #machinelearning #datascience #github
@kdnuggets @datasciencechats
https://github.com/Developer-Y/cs-video-courses#math-for-computer-scientist

A ranked list of machine learning python libraries
#github #machinelearning #python #datavisualization
@kdnuggets @datasciencechats
https://github.com/ml-tooling/best-of-ml-python

https://github.blog/changelog/2022-11-09-using-codespaces-with-jupyterlab-public-beta/
#github #ml
@kdnuggets @datasciencechats

500 AI Machine Learning Projects list with code
@coursenuggets @kdnuggets @datasciencechats
#github #projects
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code