sagardevaraju/Linear-Algebra-for-Machine-Learning-and-Data-Science
Notebooks and notes from going through Deeplearning.AI's linear algebra course
This resource provides guided explanations and practical examples to help you understand the core mathematical concepts behind machine learning and data science algorithms. You'll work through common problems, seeing how abstract linear algebra principles apply directly to tasks like data transformation and model training. It's designed for data scientists, machine learning engineers, and analysts who want to deepen their foundational understanding of the underlying math.
No commits in the last 6 months.
Use this if you are a data professional seeking to strengthen your grasp of the linear algebra concepts that power machine learning models.
Not ideal if you are looking for a plug-and-play code library or a high-level overview without diving into the mathematical details.
Stars
66
Forks
46
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 16, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sagardevaraju/Linear-Algebra-for-Machine-Learning-and-Data-Science"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations
A book on the mathematical foundations of AI from an engineering perspective.
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
hrnbot/Basic-Mathematics-for-Machine-Learning
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you...
amitkaps/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！